Notebooks/04-Economic-Dispatch.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Economic Dispatch\n",
    "\n",
    "_**[Power Systems Optimization](https://github.com/east-winds/power-systems-optimization)**_\n",
    "\n",
    "_by Michael R. Davidson and Jesse D. Jenkins (last updated: August 31, 2021)_\n",
    "\n",
    "This notebook will introduce a key operational model&mdash;economic dispatch (ED)&mdash;which minimizes the short-run production costs of meeting electricity demand from a given set of generators subject to various technical constraints.\n",
    "\n",
    "We build up the model in several stages. We begin with a single-time period and simple generator constraints just related to allowable output ranges. This allows us to compare the model with the intuition provided by the merit order supply curve (also known as the \"dispatch stack\"). \n",
    "\n",
    "We then add multiple time periods by considering the economic dispatch over an entire day. Due to the simple generator constraints, this simple model does not introduce any coupling across time.\n",
    "\n",
    "More realism is added by considering complex engineering constraints that introduce time coupling&mdash;namely, ramp rates, which are an important limitation of many generators.\n",
    "\n",
    "Finally, we examine the famous \"duck curve\" by adding more solar onto the system and explore the role that ramp rates play in the solution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction to economic dispatch\n",
    "\n",
    "Every day, system operators need to decide how to meet demand from a large variety of generators with different costs and engineering requirements. Prior to large-scale computational capabilities, this was accomplished by \"priority lists\" or similar heuristics to determine the ordering of plants. However, with modern optimization algorithms, operators can find the global minimum of production costs&mdash;and even incorporate coupling of engineering processes across time periods.\n",
    "\n",
    "**Economic dispatch** (ED) is the problem of minimizing short-run costs of production in order to meet a given demand, considering relevant engineering constraints of the generators. It *does not* fully capture the physics of electricity flows, which will further constrain the feasible space and which we will come back to in later notebooks on optimal power flow, nor does it account for decisions and constraints related to turning on or \"committing\" large thermal generators, which we'll discuss in our next notebook on unit commitment. Typically, *it does* incorporate some type of network representation, which we have ignored here by considering only a single bus. More on the networks in the notebook on optimal power flow."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Single-time period, simple generator constraints\n",
    "\n",
    "We will first examine the case where we are optimizing dispatch for a single snapshot in time, with only very simple constraints on the generators.\n",
    "    \n",
    "$$\n",
    "\\begin{align}\n",
    "\\min \\ & \\sum_{g \\in G} VarCost_g \\times GEN_g & \\\\\n",
    "\\text{s.t.} & \\\\\n",
    " & \\sum_{g} GEN_g = Demand & \\\\\n",
    " & GEN_g \\leq Pmax_g & \\forall \\quad g \\in G \\\\\n",
    " & GEN_g \\geq Pmin_g & \\forall \\quad g \\in G \\\\\n",
    "\\end{align}\n",
    "$$\n",
    "\n",
    "The **decision variable** in the above problem is:\n",
    "\n",
    "- $GEN_{g}$, the generation (in MW) produced by each generator, $g$\n",
    "\n",
    "The **parameters** are:\n",
    "\n",
    "- $Pmin_g$, the minimum operating bounds for the generator (based on engineering or natural resource constraints)\n",
    "- $Pmax_g$, the maximum operating bounds for the generator (based on engineering or natural resource constraints)\n",
    "- $Demand$, the demand (in MW)\n",
    "\n",
    "(For this simple problem, we will let $Pmin_g=0$ and revisit this later in the unit commitment notebook.)\n",
    "\n",
    "In addition, we have:\n",
    "\n",
    "$$\n",
    "VarCost_g = VarOM_g + HeatRate_g \\times FuelCost_g\n",
    "$$\n",
    "\n",
    "Note that, in contrast with the basic capacity expansion problem, we are not concerned with fixed costs. Why not?\n",
    "\n",
    "The simplest response is that these costs have already been incurred and regardless of how much a generator produces, its fixed costs will not change. These costs are thus \"[sunk costs](https://en.wikipedia.org/wiki/Sunk_cost)\" and are constant in the objective function. Our optimal decision variables would not change by adjusting this constant up or down.\n",
    "\n",
    "Therefore, we can safely ignore fixed costs for the purposes of finding optimal dispatch. (We will still have to consider them to calculate producer profits, however.)\n",
    "\n",
    "[A famous electricity regulator](https://en.wikipedia.org/wiki/Ignacio_J._P%C3%A9rez_Arriaga), noting that it is frequently misunderstood and ignored even by experienced market participants, has called the application of the \"[sunk cost fallacy](https://en.wikipedia.org/wiki/Sunk_cost#Fallacy_effect)\" to electricity systems \"[Grandma's Inheritance Theorem](http://link.springer.com/content/pdf/bbm%3A978-1-4471-5034-3%2F1.pdf).\" In this hypothetical scenario, if you were to inherit a diamond ring or perhaps a financial contract-for-differences that pays out relative to cleared market prices (you have a very sophisticated grandma in this scenario!), you should not be tempted to change your production strategy.\n",
    "\n",
    "Now, let's implement ED."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Load packages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will try out another open source solver GLPK in this tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m\u001b[1m    Updating\u001b[22m\u001b[39m registry at `~/.julia/registries/General`\n",
      "\u001b[32m\u001b[1m    Updating\u001b[22m\u001b[39m git-repo `https://github.com/JuliaRegistries/General.git`\n",
      "\u001b[32m\u001b[1m   Resolving\u001b[22m\u001b[39m package versions...\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Project.toml`\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Manifest.toml`\n",
      "\u001b[32m\u001b[1m   Resolving\u001b[22m\u001b[39m package versions...\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Project.toml`\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Manifest.toml`\n",
      "\u001b[32m\u001b[1m   Resolving\u001b[22m\u001b[39m package versions...\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Project.toml`\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Manifest.toml`\n",
      "\u001b[32m\u001b[1m   Resolving\u001b[22m\u001b[39m package versions...\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Project.toml`\n",
      "\u001b[32m\u001b[1m  No Changes\u001b[22m\u001b[39m to `~/.julia/environments/v1.6/Manifest.toml`\n"
     ]
    }
   ],
   "source": [
    "# New packages introduced in this tutorial\n",
    "import Pkg; Pkg.add(\"PrettyTables\"); Pkg.add(\"VegaLite\"); Pkg.add(\"GLPK\"); Pkg.add(\"FileIO\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: For saving to png with the Plotly backend PlotlyBase has to be installed.\n",
      "└ @ Plots /Users/michd/.julia/packages/Plots/4UbNP/src/backends.jl:435\n"
     ]
    }
   ],
   "source": [
    "using JuMP, GLPK\n",
    "using Plots; plotly();\n",
    "using VegaLite  # to make some nice plots\n",
    "using DataFrames, CSV, PrettyTables\n",
    "using FileIO\n",
    "ENV[\"COLUMNS\"]=120; # Set so all columns of DataFrames and Matrices are displayed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Load and format data\n",
    "\n",
    "We will use data based on San Diego Gas and Electric (SDG&E, via the [PowerGenome](https://github.com/gschivley/PowerGenome) data platform) plus a few neighboring generators, consisting of:\n",
    "\n",
    "- 25 generators (including some clustering of smaller generators, and excluding behind-the-meter solar)\n",
    "- estimated hourly demand for 2020 (net load at the transmission substation level after subtracting 600MW of behind-the-meter solar from original demand)\n",
    "- variable generation capacity factors\n",
    "- estimated natural gas fuel costs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "datadir = joinpath(\"ed_data\") \n",
    "# Note: joinpath is a good way to create path reference that is agnostic\n",
    "# to what file system you are using (e.g. whether directories are denoted \n",
    "# with a forward or backwards slash).\n",
    "gen_info = CSV.read(joinpath(datadir,\"Generators_data.csv\"), DataFrame);\n",
    "fuels = CSV.read(joinpath(datadir,\"Fuels_data.csv\"), DataFrame);\n",
    "loads = CSV.read(joinpath(datadir,\"Demand.csv\"), DataFrame);\n",
    "gen_variable = CSV.read(joinpath(datadir,\"Generators_variability.csv\"), DataFrame);\n",
    "\n",
    "# Rename all columns to lowercase (by convention)\n",
    "for f in [gen_info, fuels, loads, gen_variable]\n",
    "    rename!(f,lowercase.(names(f)))\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Construct generator dataframe**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep only the columns relevant to our ED model \n",
    "# (We'll come back to other columns in our unit commitment notebooks)\n",
    "select!(gen_info, 1:26, :stor) \n",
    "gen_df = outerjoin(gen_info,  fuels, on = :fuel) # load in fuel costs and add to data frame\n",
    "rename!(gen_df, :cost_per_mmbtu => :fuel_cost)   # rename column for fuel cost\n",
    "gen_df[ismissing.(gen_df[:,:fuel_cost]), :fuel_cost] .= 0\n",
    "\n",
    "# create \"is_variable\" column to indicate if this is a variable generation source (e.g. wind, solar)\n",
    "# Note: Julia's strict vectorization syntax requires us to create a new variable using the '!' indexing operator\n",
    "# and the '.=' broadcasting assignment. See: https://julia.guide/broadcasting\n",
    "gen_df[!, :is_variable] .= false\n",
    "gen_df[in([\"onshore_wind_turbine\",\"small_hydroelectric\",\"solar_photovoltaic\"]).(gen_df.resource),\n",
    "    :is_variable] .= true;\n",
    "\n",
    "# create full name of generator (including geographic location and cluster number)\n",
    "#  for use with variable generation dataframe\n",
    "gen_df.gen_full = lowercase.(gen_df.region .* \"_\" .* gen_df.resource .* \"_\" .* string.(gen_df.cluster) .* \".0\");\n",
    "\n",
    "# remove generators with no capacity (e.g. new build options that we'd use if this was capacity expansion problem)\n",
    "gen_df = gen_df[gen_df.existing_cap_mw .> 0,:];\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Long and wide data format example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>5 rows × 5 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>resource</th><th>region</th><th>existing_cap_mw</th><th>num_units</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, Float64}\">Float64?</th><th title=\"Union{Missing, Int64}\">Int64?</th></tr></thead><tbody><tr><th>1</th><td>1</td><td>biomass</td><td>WEC_SDGE</td><td>21.4</td><td>20</td></tr><tr><th>2</th><td>2</td><td>hydroelectric_pumped_storage</td><td>WEC_SDGE</td><td>42.0</td><td>2</td></tr><tr><th>3</th><td>3</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>607.1</td><td>1</td></tr><tr><th>4</th><td>4</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>30.0</td><td>1</td></tr><tr><th>5</th><td>5</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>49.4</td><td>1</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccc}\n",
       "\t& r\\_id & resource & region & existing\\_cap\\_mw & num\\_units\\\\\n",
       "\t\\hline\n",
       "\t& Int64? & String? & String? & Float64? & Int64?\\\\\n",
       "\t\\hline\n",
       "\t1 & 1 & biomass & WEC\\_SDGE & 21.4 & 20 \\\\\n",
       "\t2 & 2 & hydroelectric\\_pumped\\_storage & WEC\\_SDGE & 42.0 & 2 \\\\\n",
       "\t3 & 3 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & 607.1 & 1 \\\\\n",
       "\t4 & 4 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & 30.0 & 1 \\\\\n",
       "\t5 & 5 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & 49.4 & 1 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m5×5 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m resource                         \u001b[0m\u001b[1m region   \u001b[0m\u001b[1m existing_cap_mw \u001b[0m\u001b[1m num_units \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m String?                          \u001b[0m\u001b[90m String?  \u001b[0m\u001b[90m Float64?        \u001b[0m\u001b[90m Int64?    \u001b[0m\n",
       "─────┼────────────────────────────────────────────────────────────────────────────────\n",
       "   1 │      1  biomass                           WEC_SDGE             21.4         20\n",
       "   2 │      2  hydroelectric_pumped_storage      WEC_SDGE             42.0          2\n",
       "   3 │      3  natural_gas_fired_combined_cycle  WEC_SDGE            607.1          1\n",
       "   4 │      4  natural_gas_fired_combined_cycle  WEC_SDGE             30.0          1\n",
       "   5 │      5  natural_gas_fired_combined_cycle  WEC_SDGE             49.4          1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = gen_df[1:5,1:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>5 rows × 5 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>resource</th><th>region</th><th>existing_cap_mw</th><th>num_units</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, Float64}\">Float64?</th><th title=\"Union{Missing, Int64}\">Int64?</th></tr></thead><tbody><tr><th>1</th><td>1</td><td>biomass</td><td>WEC_SDGE</td><td>21.4</td><td>20</td></tr><tr><th>2</th><td>2</td><td>hydroelectric_pumped_storage</td><td>WEC_SDGE</td><td>42.0</td><td>2</td></tr><tr><th>3</th><td>3</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>607.1</td><td>1</td></tr><tr><th>4</th><td>4</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>30.0</td><td>1</td></tr><tr><th>5</th><td>5</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>49.4</td><td>1</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccc}\n",
       "\t& r\\_id & resource & region & existing\\_cap\\_mw & num\\_units\\\\\n",
       "\t\\hline\n",
       "\t& Int64? & String? & String? & Float64? & Int64?\\\\\n",
       "\t\\hline\n",
       "\t1 & 1 & biomass & WEC\\_SDGE & 21.4 & 20 \\\\\n",
       "\t2 & 2 & hydroelectric\\_pumped\\_storage & WEC\\_SDGE & 42.0 & 2 \\\\\n",
       "\t3 & 3 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & 607.1 & 1 \\\\\n",
       "\t4 & 4 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & 30.0 & 1 \\\\\n",
       "\t5 & 5 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & 49.4 & 1 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m5×5 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m resource                         \u001b[0m\u001b[1m region   \u001b[0m\u001b[1m existing_cap_mw \u001b[0m\u001b[1m num_units \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m String?                          \u001b[0m\u001b[90m String?  \u001b[0m\u001b[90m Float64?        \u001b[0m\u001b[90m Int64?    \u001b[0m\n",
       "─────┼────────────────────────────────────────────────────────────────────────────────\n",
       "   1 │      1  biomass                           WEC_SDGE             21.4         20\n",
       "   2 │      2  hydroelectric_pumped_storage      WEC_SDGE             42.0          2\n",
       "   3 │      3  natural_gas_fired_combined_cycle  WEC_SDGE            607.1          1\n",
       "   4 │      4  natural_gas_fired_combined_cycle  WEC_SDGE             30.0          1\n",
       "   5 │      5  natural_gas_fired_combined_cycle  WEC_SDGE             49.4          1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = copy(gen_df)\n",
    "select!(df, 1:5)\n",
    "df = df[1:5,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>10 rows × 5 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>resource</th><th>region</th><th>var</th><th>val</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"String\">String</th><th title=\"Union{Missing, Float64}\">Float64?</th></tr></thead><tbody><tr><th>1</th><td>1</td><td>biomass</td><td>WEC_SDGE</td><td>existing_cap_mw</td><td>21.4</td></tr><tr><th>2</th><td>2</td><td>hydroelectric_pumped_storage</td><td>WEC_SDGE</td><td>existing_cap_mw</td><td>42.0</td></tr><tr><th>3</th><td>3</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>existing_cap_mw</td><td>607.1</td></tr><tr><th>4</th><td>4</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>existing_cap_mw</td><td>30.0</td></tr><tr><th>5</th><td>5</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>existing_cap_mw</td><td>49.4</td></tr><tr><th>6</th><td>1</td><td>biomass</td><td>WEC_SDGE</td><td>num_units</td><td>20.0</td></tr><tr><th>7</th><td>2</td><td>hydroelectric_pumped_storage</td><td>WEC_SDGE</td><td>num_units</td><td>2.0</td></tr><tr><th>8</th><td>3</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>num_units</td><td>1.0</td></tr><tr><th>9</th><td>4</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>num_units</td><td>1.0</td></tr><tr><th>10</th><td>5</td><td>natural_gas_fired_combined_cycle</td><td>WEC_SDGE</td><td>num_units</td><td>1.0</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccc}\n",
       "\t& r\\_id & resource & region & var & val\\\\\n",
       "\t\\hline\n",
       "\t& Int64? & String? & String? & String & Float64?\\\\\n",
       "\t\\hline\n",
       "\t1 & 1 & biomass & WEC\\_SDGE & existing\\_cap\\_mw & 21.4 \\\\\n",
       "\t2 & 2 & hydroelectric\\_pumped\\_storage & WEC\\_SDGE & existing\\_cap\\_mw & 42.0 \\\\\n",
       "\t3 & 3 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & existing\\_cap\\_mw & 607.1 \\\\\n",
       "\t4 & 4 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & existing\\_cap\\_mw & 30.0 \\\\\n",
       "\t5 & 5 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & existing\\_cap\\_mw & 49.4 \\\\\n",
       "\t6 & 1 & biomass & WEC\\_SDGE & num\\_units & 20.0 \\\\\n",
       "\t7 & 2 & hydroelectric\\_pumped\\_storage & WEC\\_SDGE & num\\_units & 2.0 \\\\\n",
       "\t8 & 3 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & num\\_units & 1.0 \\\\\n",
       "\t9 & 4 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & num\\_units & 1.0 \\\\\n",
       "\t10 & 5 & natural\\_gas\\_fired\\_combined\\_cycle & WEC\\_SDGE & num\\_units & 1.0 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m10×5 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m resource                         \u001b[0m\u001b[1m region   \u001b[0m\u001b[1m var             \u001b[0m\u001b[1m val      \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m String?                          \u001b[0m\u001b[90m String?  \u001b[0m\u001b[90m String          \u001b[0m\u001b[90m Float64? \u001b[0m\n",
       "─────┼───────────────────────────────────────────────────────────────────────────────\n",
       "   1 │      1  biomass                           WEC_SDGE  existing_cap_mw      21.4\n",
       "   2 │      2  hydroelectric_pumped_storage      WEC_SDGE  existing_cap_mw      42.0\n",
       "   3 │      3  natural_gas_fired_combined_cycle  WEC_SDGE  existing_cap_mw     607.1\n",
       "   4 │      4  natural_gas_fired_combined_cycle  WEC_SDGE  existing_cap_mw      30.0\n",
       "   5 │      5  natural_gas_fired_combined_cycle  WEC_SDGE  existing_cap_mw      49.4\n",
       "   6 │      1  biomass                           WEC_SDGE  num_units            20.0\n",
       "   7 │      2  hydroelectric_pumped_storage      WEC_SDGE  num_units             2.0\n",
       "   8 │      3  natural_gas_fired_combined_cycle  WEC_SDGE  num_units             1.0\n",
       "   9 │      4  natural_gas_fired_combined_cycle  WEC_SDGE  num_units             1.0\n",
       "  10 │      5  natural_gas_fired_combined_cycle  WEC_SDGE  num_units             1.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stack(df, \n",
    "    [:existing_cap_mw, :num_units], \n",
    "    variable_name=:var,\n",
    "    value_name=:val)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Modify load and variable generation dataframes**\n",
    "\n",
    "1. Convert from GMT to GMT-8\n",
    "\n",
    "The load and variable generation files are in GMT. We want to convert to local California time. Here, we will ignore daylight savings and simply subtract 8 hours. (A more proper solution would involve the use of the [TimeZones](https://github.com/JuliaTime/TimeZones.jl/) package.)\n",
    "\n",
    "To accomplish this, we 'wrap' the last 8 hours of the data series (i.e., the last 8 hours of the year) around to the front of the series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "gen_variable.hour = mod.(gen_variable.hour .- 9, 8760) .+ 1 \n",
    "sort!(gen_variable, :hour)\n",
    "loads.hour = mod.(loads.hour .- 9, 8760) .+ 1\n",
    "sort!(loads, :hour);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Convert from \"wide\" to \"long\" format:\n",
    "\n",
    "The file is in \"wide\" format, which has separate columns for values from different types of generators. This has more human readability, but often we want to have it in \"long\" format for computation.\n",
    "\n",
    "\"Long\" format refers to a dataframe with a separate row entry for every value. The rest of the columns are \"indexes\" that uniquely identify the row. In Julia, we use the DataFrame package's [`stack`](https://juliadata.github.io/DataFrames.jl/stable/man/reshaping_and_pivoting/) function to accomplish this. (This is similar to the [`melt`](https://www.rdocumentation.org/packages/reshape2/versions/1.4.4/topics/melt) function for those familiar with DataFrames in R)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>31 rows × 7 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>variable</th><th>mean</th><th>min</th><th>median</th><th>max</th><th>nmissing</th><th>eltype</th></tr><tr><th></th><th title=\"Symbol\">Symbol</th><th title=\"Float64\">Float64</th><th title=\"Real\">Real</th><th title=\"Float64\">Float64</th><th title=\"Real\">Real</th><th title=\"Int64\">Int64</th><th title=\"DataType\">DataType</th></tr></thead><tbody><tr><th>1</th><td>hour</td><td>4380.5</td><td>1</td><td>4380.5</td><td>8760</td><td>0</td><td>Int64</td></tr><tr><th>2</th><td>wec_sdge_biomass_1.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>3</th><td>wec_sdge_hydroelectric_pumped_storage_1.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>4</th><td>wec_sdge_natural_gas_fired_combined_cycle_1.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>5</th><td>wec_sdge_natural_gas_fired_combined_cycle_2.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>6</th><td>wec_sdge_natural_gas_fired_combined_cycle_3.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>7</th><td>wec_sdge_natural_gas_fired_combined_cycle_4.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>8</th><td>wec_sdge_natural_gas_fired_combustion_turbine_1.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>9</th><td>wec_sdge_natural_gas_fired_combustion_turbine_2.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>10</th><td>wec_sdge_natural_gas_fired_combustion_turbine_3.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>11</th><td>wec_sdge_natural_gas_fired_combustion_turbine_4.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>12</th><td>wec_sdge_natural_gas_fired_combustion_turbine_5.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>13</th><td>wec_sdge_natural_gas_fired_combustion_turbine_6.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>14</th><td>wec_sdge_natural_gas_fired_combustion_turbine_7.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>15</th><td>wec_sdge_natural_gas_fired_combustion_turbine_8.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>16</th><td>wec_sdge_natural_gas_fired_combustion_turbine_9.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>17</th><td>wec_sdge_natural_gas_fired_combustion_turbine_10.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>18</th><td>wec_sdge_natural_gas_fired_combustion_turbine_11.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>19</th><td>wec_sdge_natural_gas_fired_combustion_turbine_12.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>20</th><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.253519</td><td>0.0</td><td>0.19465</td><td>0.9089</td><td>0</td><td>Float64</td></tr><tr><th>21</th><td>wec_sdge_small_hydroelectric_1.0</td><td>0.41567</td><td>0.2167</td><td>0.38475</td><td>0.6337</td><td>0</td><td>Float64</td></tr><tr><th>22</th><td>wec_sdge_solar_photovoltaic_1.0</td><td>0.247288</td><td>0.0</td><td>0.0</td><td>0.7959</td><td>0</td><td>Float64</td></tr><tr><th>23</th><td>wec_sdge_naturalgas_ccccsavgcf_0.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>24</th><td>wec_sdge_naturalgas_ccavgcf_0.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>25</th><td>wec_sdge_naturalgas_ctavgcf_0.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>26</th><td>wec_sdge_battery_0.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>27</th><td>wec_sdge_naturalgas_ccs100_0.0</td><td>1.0</td><td>1</td><td>1.0</td><td>1</td><td>0</td><td>Int64</td></tr><tr><th>28</th><td>wec_sdge_landbasedwind_ltrg1_1.0</td><td>0.341167</td><td>0.0</td><td>0.249565</td><td>0.93217</td><td>0</td><td>Float64</td></tr><tr><th>29</th><td>wec_sdge_landbasedwind_ltrg1_2.0</td><td>0.257347</td><td>0.0</td><td>0.194376</td><td>0.912162</td><td>0</td><td>Float64</td></tr><tr><th>30</th><td>wec_sdge_utilitypv_losangeles_1.0</td><td>0.346479</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0</td><td>Float64</td></tr><tr><th>&vellip;</th><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td><td>&vellip;</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccccc}\n",
       "\t& variable & mean & min & median & max & nmissing & eltype\\\\\n",
       "\t\\hline\n",
       "\t& Symbol & Float64 & Real & Float64 & Real & Int64 & DataType\\\\\n",
       "\t\\hline\n",
       "\t1 & hour & 4380.5 & 1 & 4380.5 & 8760 & 0 & Int64 \\\\\n",
       "\t2 & wec\\_sdge\\_biomass\\_1.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t3 & wec\\_sdge\\_hydroelectric\\_pumped\\_storage\\_1.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t4 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_1.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t5 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_2.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t6 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_3.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t7 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_4.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t8 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_1.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t9 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_2.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t10 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_3.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t11 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_4.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t12 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_5.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t13 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_6.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t14 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_7.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t15 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_8.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t16 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_9.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t17 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_10.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t18 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_11.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t19 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_12.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t20 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.253519 & 0.0 & 0.19465 & 0.9089 & 0 & Float64 \\\\\n",
       "\t21 & wec\\_sdge\\_small\\_hydroelectric\\_1.0 & 0.41567 & 0.2167 & 0.38475 & 0.6337 & 0 & Float64 \\\\\n",
       "\t22 & wec\\_sdge\\_solar\\_photovoltaic\\_1.0 & 0.247288 & 0.0 & 0.0 & 0.7959 & 0 & Float64 \\\\\n",
       "\t23 & wec\\_sdge\\_naturalgas\\_ccccsavgcf\\_0.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t24 & wec\\_sdge\\_naturalgas\\_ccavgcf\\_0.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t25 & wec\\_sdge\\_naturalgas\\_ctavgcf\\_0.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t26 & wec\\_sdge\\_battery\\_0.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t27 & wec\\_sdge\\_naturalgas\\_ccs100\\_0.0 & 1.0 & 1 & 1.0 & 1 & 0 & Int64 \\\\\n",
       "\t28 & wec\\_sdge\\_landbasedwind\\_ltrg1\\_1.0 & 0.341167 & 0.0 & 0.249565 & 0.93217 & 0 & Float64 \\\\\n",
       "\t29 & wec\\_sdge\\_landbasedwind\\_ltrg1\\_2.0 & 0.257347 & 0.0 & 0.194376 & 0.912162 & 0 & Float64 \\\\\n",
       "\t30 & wec\\_sdge\\_utilitypv\\_losangeles\\_1.0 & 0.346479 & 0.0 & 0.0 & 1.0 & 0 & Float64 \\\\\n",
       "\t$\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m31×7 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m variable                          \u001b[0m\u001b[1m mean        \u001b[0m\u001b[1m min    \u001b[0m\u001b[1m median      \u001b[0m\u001b[1m max         \u001b[0m\u001b[1m nmissing \u001b[0m\u001b[1m eltype   \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Symbol                            \u001b[0m\u001b[90m Float64     \u001b[0m\u001b[90m Real   \u001b[0m\u001b[90m Float64     \u001b[0m\u001b[90m Real        \u001b[0m\u001b[90m Int64    \u001b[0m\u001b[90m DataType \u001b[0m\n",
       "─────┼──────────────────────────────────────────────────────────────────────────────────────────────────────\n",
       "   1 │ hour                               4380.5       1       4380.5       8760                0  Int64\n",
       "   2 │ wec_sdge_biomass_1.0                  1.0       1          1.0          1                0  Int64\n",
       "   3 │ wec_sdge_hydroelectric_pumped_st…     1.0       1          1.0          1                0  Int64\n",
       "   4 │ wec_sdge_natural_gas_fired_combi…     1.0       1          1.0          1                0  Int64\n",
       "   5 │ wec_sdge_natural_gas_fired_combi…     1.0       1          1.0          1                0  Int64\n",
       "   6 │ wec_sdge_natural_gas_fired_combi…     1.0       1          1.0          1                0  Int64\n",
       "   7 │ wec_sdge_natural_gas_fired_combi…     1.0       1          1.0          1                0  Int64\n",
       "   8 │ wec_sdge_natural_gas_fired_combu…     1.0       1          1.0          1                0  Int64\n",
       "   9 │ wec_sdge_natural_gas_fired_combu…     1.0       1          1.0          1                0  Int64\n",
       "  10 │ wec_sdge_natural_gas_fired_combu…     1.0       1          1.0          1                0  Int64\n",
       "  11 │ wec_sdge_natural_gas_fired_combu…     1.0       1          1.0          1                0  Int64\n",
       "  ⋮  │                 ⋮                       ⋮         ⋮          ⋮            ⋮          ⋮         ⋮\n",
       "  22 │ wec_sdge_solar_photovoltaic_1.0       0.247288  0.0        0.0          0.7959           0  Float64\n",
       "  23 │ wec_sdge_naturalgas_ccccsavgcf_0…     1.0       1          1.0          1                0  Int64\n",
       "  24 │ wec_sdge_naturalgas_ccavgcf_0.0       1.0       1          1.0          1                0  Int64\n",
       "  25 │ wec_sdge_naturalgas_ctavgcf_0.0       1.0       1          1.0          1                0  Int64\n",
       "  26 │ wec_sdge_battery_0.0                  1.0       1          1.0          1                0  Int64\n",
       "  27 │ wec_sdge_naturalgas_ccs100_0.0        1.0       1          1.0          1                0  Int64\n",
       "  28 │ wec_sdge_landbasedwind_ltrg1_1.0      0.341167  0.0        0.249565     0.93217          0  Float64\n",
       "  29 │ wec_sdge_landbasedwind_ltrg1_2.0      0.257347  0.0        0.194376     0.912162         0  Float64\n",
       "  30 │ wec_sdge_utilitypv_losangeles_1.0     0.346479  0.0        0.0          1.0              0  Float64\n",
       "  31 │ wec_sdge_utilitypv_losangeles_2.0     0.344724  0.0        0.0          1.0              0  Float64\n",
       "\u001b[36m                                                                                             10 rows omitted\u001b[0m"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "describe(gen_variable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>6 rows × 3 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>hour</th><th>gen_full</th><th>cf</th></tr><tr><th></th><th title=\"Int64\">Int64</th><th title=\"String\">String</th><th title=\"Float64\">Float64</th></tr></thead><tbody><tr><th>1</th><td>1</td><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.1694</td></tr><tr><th>2</th><td>2</td><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.1658</td></tr><tr><th>3</th><td>3</td><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.1502</td></tr><tr><th>4</th><td>4</td><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.1455</td></tr><tr><th>5</th><td>5</td><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.0932</td></tr><tr><th>6</th><td>6</td><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.0717</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccc}\n",
       "\t& hour & gen\\_full & cf\\\\\n",
       "\t\\hline\n",
       "\t& Int64 & String & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & 1 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.1694 \\\\\n",
       "\t2 & 2 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.1658 \\\\\n",
       "\t3 & 3 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.1502 \\\\\n",
       "\t4 & 4 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.1455 \\\\\n",
       "\t5 & 5 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.0932 \\\\\n",
       "\t6 & 6 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.0717 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m6×3 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m hour  \u001b[0m\u001b[1m gen_full                          \u001b[0m\u001b[1m cf      \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64 \u001b[0m\u001b[90m String                            \u001b[0m\u001b[90m Float64 \u001b[0m\n",
       "─────┼───────────────────────────────────────────────────\n",
       "   1 │     1  wec_sdge_onshore_wind_turbine_1.0   0.1694\n",
       "   2 │     2  wec_sdge_onshore_wind_turbine_1.0   0.1658\n",
       "   3 │     3  wec_sdge_onshore_wind_turbine_1.0   0.1502\n",
       "   4 │     4  wec_sdge_onshore_wind_turbine_1.0   0.1455\n",
       "   5 │     5  wec_sdge_onshore_wind_turbine_1.0   0.0932\n",
       "   6 │     6  wec_sdge_onshore_wind_turbine_1.0   0.0717"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen_variable_long = stack(gen_variable, \n",
    "                        Not(:hour), \n",
    "                        variable_name=:gen_full,\n",
    "                        value_name=:cf);\n",
    "# Now we have a \"long\" dataframe; \n",
    "# let's look at the first 6 entries of a wind resource for example\n",
    "first(gen_variable_long[gen_variable_long.gen_full.==\"wec_sdge_onshore_wind_turbine_1.0\",:],6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Extract single time from the data**\n",
    "(we will get to the full set later)\n",
    "\n",
    "- demand\n",
    "- variable generation\n",
    "\n",
    "Note: variable generation profiles are often encoded in terms of hourly maximum capacity factor, expressed as a per unit value or percentage of installed capacity. Hourly capacity factor is then later multiplied by installed capacity to yield a maximum hourly generation for each resource."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>30 rows × 2 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>gen_full</th><th>cf</th></tr><tr><th></th><th title=\"String\">String</th><th title=\"Float64\">Float64</th></tr></thead><tbody><tr><th>1</th><td>wec_sdge_biomass_1.0</td><td>1.0</td></tr><tr><th>2</th><td>wec_sdge_hydroelectric_pumped_storage_1.0</td><td>1.0</td></tr><tr><th>3</th><td>wec_sdge_natural_gas_fired_combined_cycle_1.0</td><td>1.0</td></tr><tr><th>4</th><td>wec_sdge_natural_gas_fired_combined_cycle_2.0</td><td>1.0</td></tr><tr><th>5</th><td>wec_sdge_natural_gas_fired_combined_cycle_3.0</td><td>1.0</td></tr><tr><th>6</th><td>wec_sdge_natural_gas_fired_combined_cycle_4.0</td><td>1.0</td></tr><tr><th>7</th><td>wec_sdge_natural_gas_fired_combustion_turbine_1.0</td><td>1.0</td></tr><tr><th>8</th><td>wec_sdge_natural_gas_fired_combustion_turbine_2.0</td><td>1.0</td></tr><tr><th>9</th><td>wec_sdge_natural_gas_fired_combustion_turbine_3.0</td><td>1.0</td></tr><tr><th>10</th><td>wec_sdge_natural_gas_fired_combustion_turbine_4.0</td><td>1.0</td></tr><tr><th>11</th><td>wec_sdge_natural_gas_fired_combustion_turbine_5.0</td><td>1.0</td></tr><tr><th>12</th><td>wec_sdge_natural_gas_fired_combustion_turbine_6.0</td><td>1.0</td></tr><tr><th>13</th><td>wec_sdge_natural_gas_fired_combustion_turbine_7.0</td><td>1.0</td></tr><tr><th>14</th><td>wec_sdge_natural_gas_fired_combustion_turbine_8.0</td><td>1.0</td></tr><tr><th>15</th><td>wec_sdge_natural_gas_fired_combustion_turbine_9.0</td><td>1.0</td></tr><tr><th>16</th><td>wec_sdge_natural_gas_fired_combustion_turbine_10.0</td><td>1.0</td></tr><tr><th>17</th><td>wec_sdge_natural_gas_fired_combustion_turbine_11.0</td><td>1.0</td></tr><tr><th>18</th><td>wec_sdge_natural_gas_fired_combustion_turbine_12.0</td><td>1.0</td></tr><tr><th>19</th><td>wec_sdge_onshore_wind_turbine_1.0</td><td>0.3006</td></tr><tr><th>20</th><td>wec_sdge_small_hydroelectric_1.0</td><td>0.4351</td></tr><tr><th>21</th><td>wec_sdge_solar_photovoltaic_1.0</td><td>0.5695</td></tr><tr><th>22</th><td>wec_sdge_naturalgas_ccccsavgcf_0.0</td><td>1.0</td></tr><tr><th>23</th><td>wec_sdge_naturalgas_ccavgcf_0.0</td><td>1.0</td></tr><tr><th>24</th><td>wec_sdge_naturalgas_ctavgcf_0.0</td><td>1.0</td></tr><tr><th>25</th><td>wec_sdge_battery_0.0</td><td>1.0</td></tr><tr><th>26</th><td>wec_sdge_naturalgas_ccs100_0.0</td><td>1.0</td></tr><tr><th>27</th><td>wec_sdge_landbasedwind_ltrg1_1.0</td><td>0.482802</td></tr><tr><th>28</th><td>wec_sdge_landbasedwind_ltrg1_2.0</td><td>0.302244</td></tr><tr><th>29</th><td>wec_sdge_utilitypv_losangeles_1.0</td><td>0.690915</td></tr><tr><th>30</th><td>wec_sdge_utilitypv_losangeles_2.0</td><td>0.743176</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cc}\n",
       "\t& gen\\_full & cf\\\\\n",
       "\t\\hline\n",
       "\t& String & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & wec\\_sdge\\_biomass\\_1.0 & 1.0 \\\\\n",
       "\t2 & wec\\_sdge\\_hydroelectric\\_pumped\\_storage\\_1.0 & 1.0 \\\\\n",
       "\t3 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_1.0 & 1.0 \\\\\n",
       "\t4 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_2.0 & 1.0 \\\\\n",
       "\t5 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_3.0 & 1.0 \\\\\n",
       "\t6 & wec\\_sdge\\_natural\\_gas\\_fired\\_combined\\_cycle\\_4.0 & 1.0 \\\\\n",
       "\t7 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_1.0 & 1.0 \\\\\n",
       "\t8 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_2.0 & 1.0 \\\\\n",
       "\t9 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_3.0 & 1.0 \\\\\n",
       "\t10 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_4.0 & 1.0 \\\\\n",
       "\t11 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_5.0 & 1.0 \\\\\n",
       "\t12 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_6.0 & 1.0 \\\\\n",
       "\t13 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_7.0 & 1.0 \\\\\n",
       "\t14 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_8.0 & 1.0 \\\\\n",
       "\t15 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_9.0 & 1.0 \\\\\n",
       "\t16 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_10.0 & 1.0 \\\\\n",
       "\t17 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_11.0 & 1.0 \\\\\n",
       "\t18 & wec\\_sdge\\_natural\\_gas\\_fired\\_combustion\\_turbine\\_12.0 & 1.0 \\\\\n",
       "\t19 & wec\\_sdge\\_onshore\\_wind\\_turbine\\_1.0 & 0.3006 \\\\\n",
       "\t20 & wec\\_sdge\\_small\\_hydroelectric\\_1.0 & 0.4351 \\\\\n",
       "\t21 & wec\\_sdge\\_solar\\_photovoltaic\\_1.0 & 0.5695 \\\\\n",
       "\t22 & wec\\_sdge\\_naturalgas\\_ccccsavgcf\\_0.0 & 1.0 \\\\\n",
       "\t23 & wec\\_sdge\\_naturalgas\\_ccavgcf\\_0.0 & 1.0 \\\\\n",
       "\t24 & wec\\_sdge\\_naturalgas\\_ctavgcf\\_0.0 & 1.0 \\\\\n",
       "\t25 & wec\\_sdge\\_battery\\_0.0 & 1.0 \\\\\n",
       "\t26 & wec\\_sdge\\_naturalgas\\_ccs100\\_0.0 & 1.0 \\\\\n",
       "\t27 & wec\\_sdge\\_landbasedwind\\_ltrg1\\_1.0 & 0.482802 \\\\\n",
       "\t28 & wec\\_sdge\\_landbasedwind\\_ltrg1\\_2.0 & 0.302244 \\\\\n",
       "\t29 & wec\\_sdge\\_utilitypv\\_losangeles\\_1.0 & 0.690915 \\\\\n",
       "\t30 & wec\\_sdge\\_utilitypv\\_losangeles\\_2.0 & 0.743176 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m30×2 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m gen_full                          \u001b[0m\u001b[1m cf       \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m String                            \u001b[0m\u001b[90m Float64  \u001b[0m\n",
       "─────┼─────────────────────────────────────────────\n",
       "   1 │ wec_sdge_biomass_1.0               1.0\n",
       "   2 │ wec_sdge_hydroelectric_pumped_st…  1.0\n",
       "   3 │ wec_sdge_natural_gas_fired_combi…  1.0\n",
       "   4 │ wec_sdge_natural_gas_fired_combi…  1.0\n",
       "   5 │ wec_sdge_natural_gas_fired_combi…  1.0\n",
       "   6 │ wec_sdge_natural_gas_fired_combi…  1.0\n",
       "   7 │ wec_sdge_natural_gas_fired_combu…  1.0\n",
       "   8 │ wec_sdge_natural_gas_fired_combu…  1.0\n",
       "   9 │ wec_sdge_natural_gas_fired_combu…  1.0\n",
       "  10 │ wec_sdge_natural_gas_fired_combu…  1.0\n",
       "  11 │ wec_sdge_natural_gas_fired_combu…  1.0\n",
       "  ⋮  │                 ⋮                     ⋮\n",
       "  21 │ wec_sdge_solar_photovoltaic_1.0    0.5695\n",
       "  22 │ wec_sdge_naturalgas_ccccsavgcf_0…  1.0\n",
       "  23 │ wec_sdge_naturalgas_ccavgcf_0.0    1.0\n",
       "  24 │ wec_sdge_naturalgas_ctavgcf_0.0    1.0\n",
       "  25 │ wec_sdge_battery_0.0               1.0\n",
       "  26 │ wec_sdge_naturalgas_ccs100_0.0     1.0\n",
       "  27 │ wec_sdge_landbasedwind_ltrg1_1.0   0.482802\n",
       "  28 │ wec_sdge_landbasedwind_ltrg1_2.0   0.302244\n",
       "  29 │ wec_sdge_utilitypv_losangeles_1.0  0.690915\n",
       "  30 │ wec_sdge_utilitypv_losangeles_2.0  0.743176\n",
       "\u001b[36m                                     9 rows omitted\u001b[0m"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hr = 2416  # pick 4pm on a spring day\n",
    "loads_single = loads[loads[:,:hour] .== hr, Not(:hour)];\n",
    "var_cf_single = gen_variable_long[\n",
    "    gen_variable_long.hour .== hr, \n",
    "    Not(:hour)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Create solver function\n",
    "\n",
    "Here, we introduce a functionalized version of the optimization problem. We pass the problem parameters to the function, and it constructs and solves the model, returning the result. This will be useful when we wish to call the same basic model multiple times, e.g. for conducting sensitivities on parameters (among other things)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "economic_dispatch_single (generic function with 1 method)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#=\n",
    "Function to solve economic dispatch problem (single-time period, single-zone)\n",
    "Inputs:\n",
    "    gen_df -- dataframe with generator info\n",
    "    loads  -- dataframe with load info\n",
    "    gen_variable -- capacity factors of variable generators (in \"long\" format)\n",
    "Note: it is always a good idea to include a comment blog describing your\n",
    "function's inputs clearly!\n",
    "=#\n",
    "function economic_dispatch_single(gen_df, loads, gen_variable)\n",
    "    ED = Model(GLPK.Optimizer) # You could use Clp as well, with Clp.Optimizer\n",
    "    \n",
    "    # Define sets based on data\n",
    "      # A set of all variable generators\n",
    "    G_var = gen_df[gen_df[!,:is_variable] .== 1,:r_id] \n",
    "      # A set of all non-variable generators\n",
    "    G_nonvar = gen_df[gen_df[!,:is_variable] .== 0,:r_id]\n",
    "      # Set of all generators\n",
    "    G = gen_df.r_id\n",
    "    # Extract some parameters given the input data\n",
    "      # Generator capacity factor time series for variable generators\n",
    "    gen_var_cf = innerjoin(gen_variable, \n",
    "                    gen_df[gen_df.is_variable .== 1 , \n",
    "                        [:r_id, :gen_full, :existing_cap_mw]], \n",
    "                    on = :gen_full)\n",
    "        \n",
    "    # Decision variables   \n",
    "    @variables(ED, begin\n",
    "        GEN[G]  >= 0     # generation\n",
    "        # Note: we assume Pmin = 0 for all resources for simplicty here\n",
    "    end)\n",
    "                \n",
    "    # Objective function\n",
    "    @objective(ED, Min, \n",
    "        sum( (gen_df[i,:heat_rate_mmbtu_per_mwh] * gen_df[i,:fuel_cost] +\n",
    "            gen_df[i,:var_om_cost_per_mwh]) * GEN[i] \n",
    "                        for i in G_nonvar) + \n",
    "        sum(gen_df[i,:var_om_cost_per_mwh] * GEN[i] \n",
    "                        for i in G_var)\n",
    "    )\n",
    "\n",
    "    # Demand constraint\n",
    "    @constraint(ED, cDemand, \n",
    "        sum(GEN[i] for i in G) == loads[1,:demand])\n",
    "\n",
    "    # Capacity constraint (non-variable generation)\n",
    "    for i in G_nonvar\n",
    "        @constraint(ED, GEN[i] <= gen_df[i,:existing_cap_mw])\n",
    "    end\n",
    "\n",
    "    # Variable generation capacity constraint\n",
    "    for i in 1:nrow(gen_var_cf)\n",
    "        @constraint(ED, GEN[gen_var_cf[i,:r_id] ] <= \n",
    "                        gen_var_cf[i,:cf] *\n",
    "                        gen_var_cf[i,:existing_cap_mw])\n",
    "    end\n",
    "\n",
    "    # Solve statement (! indicates runs in place)\n",
    "    optimize!(ED)\n",
    "\n",
    "    # Dataframe of optimal decision variables\n",
    "    solution = DataFrame(\n",
    "        r_id = gen_df.r_id,\n",
    "        resource = gen_df.resource,\n",
    "        gen = value.(GEN).data\n",
    "        )\n",
    "\n",
    "    # Return the solution and objective as named tuple\n",
    "    return (\n",
    "        solution = solution, \n",
    "        cost = objective_value(ED),\n",
    "    )\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Solve and print data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>25 rows × 3 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>resource</th><th>gen</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Float64\">Float64</th></tr></thead><tbody><tr><th>1</th><td>1</td><td>biomass</td><td>21.4</td></tr><tr><th>2</th><td>2</td><td>hydroelectric_pumped_storage</td><td>42.0</td></tr><tr><th>3</th><td>3</td><td>natural_gas_fired_combined_cycle</td><td>607.1</td></tr><tr><th>4</th><td>4</td><td>natural_gas_fired_combined_cycle</td><td>30.0</td></tr><tr><th>5</th><td>5</td><td>natural_gas_fired_combined_cycle</td><td>49.4</td></tr><tr><th>6</th><td>6</td><td>natural_gas_fired_combined_cycle</td><td>570.0</td></tr><tr><th>7</th><td>7</td><td>natural_gas_fired_combined_cycle</td><td>336.0</td></tr><tr><th>8</th><td>8</td><td>natural_gas_fired_combined_cycle</td><td>336.0</td></tr><tr><th>9</th><td>9</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>10</th><td>10</td><td>natural_gas_fired_combustion_turbine</td><td>49.9</td></tr><tr><th>11</th><td>11</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>12</th><td>12</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>13</th><td>13</td><td>natural_gas_fired_combustion_turbine</td><td>86.8545</td></tr><tr><th>14</th><td>14</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>15</th><td>15</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>16</th><td>16</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>17</th><td>17</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>18</th><td>18</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>19</th><td>19</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>20</th><td>20</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>21</th><td>21</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>22</th><td>22</td><td>natural_gas_fired_combustion_turbine</td><td>0.0</td></tr><tr><th>23</th><td>23</td><td>onshore_wind_turbine</td><td>65.4106</td></tr><tr><th>24</th><td>24</td><td>small_hydroelectric</td><td>3.18493</td></tr><tr><th>25</th><td>25</td><td>solar_photovoltaic</td><td>284.75</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccc}\n",
       "\t& r\\_id & resource & gen\\\\\n",
       "\t\\hline\n",
       "\t& Int64? & String? & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & 1 & biomass & 21.4 \\\\\n",
       "\t2 & 2 & hydroelectric\\_pumped\\_storage & 42.0 \\\\\n",
       "\t3 & 3 & natural\\_gas\\_fired\\_combined\\_cycle & 607.1 \\\\\n",
       "\t4 & 4 & natural\\_gas\\_fired\\_combined\\_cycle & 30.0 \\\\\n",
       "\t5 & 5 & natural\\_gas\\_fired\\_combined\\_cycle & 49.4 \\\\\n",
       "\t6 & 6 & natural\\_gas\\_fired\\_combined\\_cycle & 570.0 \\\\\n",
       "\t7 & 7 & natural\\_gas\\_fired\\_combined\\_cycle & 336.0 \\\\\n",
       "\t8 & 8 & natural\\_gas\\_fired\\_combined\\_cycle & 336.0 \\\\\n",
       "\t9 & 9 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t10 & 10 & natural\\_gas\\_fired\\_combustion\\_turbine & 49.9 \\\\\n",
       "\t11 & 11 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t12 & 12 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t13 & 13 & natural\\_gas\\_fired\\_combustion\\_turbine & 86.8545 \\\\\n",
       "\t14 & 14 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t15 & 15 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t16 & 16 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t17 & 17 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t18 & 18 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t19 & 19 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t20 & 20 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t21 & 21 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t22 & 22 & natural\\_gas\\_fired\\_combustion\\_turbine & 0.0 \\\\\n",
       "\t23 & 23 & onshore\\_wind\\_turbine & 65.4106 \\\\\n",
       "\t24 & 24 & small\\_hydroelectric & 3.18493 \\\\\n",
       "\t25 & 25 & solar\\_photovoltaic & 284.75 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m25×3 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m resource                          \u001b[0m\u001b[1m gen       \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m String?                           \u001b[0m\u001b[90m Float64   \u001b[0m\n",
       "─────┼──────────────────────────────────────────────────────\n",
       "   1 │      1  biomass                             21.4\n",
       "   2 │      2  hydroelectric_pumped_storage        42.0\n",
       "   3 │      3  natural_gas_fired_combined_cycle   607.1\n",
       "   4 │      4  natural_gas_fired_combined_cycle    30.0\n",
       "   5 │      5  natural_gas_fired_combined_cycle    49.4\n",
       "   6 │      6  natural_gas_fired_combined_cycle   570.0\n",
       "   7 │      7  natural_gas_fired_combined_cycle   336.0\n",
       "   8 │      8  natural_gas_fired_combined_cycle   336.0\n",
       "   9 │      9  natural_gas_fired_combustion_tur…    0.0\n",
       "  10 │     10  natural_gas_fired_combustion_tur…   49.9\n",
       "  11 │     11  natural_gas_fired_combustion_tur…    0.0\n",
       "  ⋮  │   ⋮                     ⋮                      ⋮\n",
       "  16 │     16  natural_gas_fired_combustion_tur…    0.0\n",
       "  17 │     17  natural_gas_fired_combustion_tur…    0.0\n",
       "  18 │     18  natural_gas_fired_combustion_tur…    0.0\n",
       "  19 │     19  natural_gas_fired_combustion_tur…    0.0\n",
       "  20 │     20  natural_gas_fired_combustion_tur…    0.0\n",
       "  21 │     21  natural_gas_fired_combustion_tur…    0.0\n",
       "  22 │     22  natural_gas_fired_combustion_tur…    0.0\n",
       "  23 │     23  onshore_wind_turbine                65.4106\n",
       "  24 │     24  small_hydroelectric                  3.18493\n",
       "  25 │     25  solar_photovoltaic                 284.75\n",
       "\u001b[36m                                              4 rows omitted\u001b[0m"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "solution = economic_dispatch_single(gen_df, loads_single, var_cf_single);\n",
    "solution.solution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now plot the **supply curve** (also known as the **dispatch stack**) for this single period to illustrate the concept of **merit order**. First, let's create a dataframe with the variable cost as a column, and then sort on it from lowest to highest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "supply_curve = leftjoin(gen_df,\n",
    "                var_cf_single, \n",
    "                on = :gen_full)\n",
    "supply_curve[!, :varcost] .= 0.0\n",
    "supply_curve[!, :cap] .= 0.0\n",
    "\n",
    "# Store varcost of non-variable generators:\n",
    "I = supply_curve[!,:is_variable] .== 0  # `I` contains indexes to the non-variable generators\n",
    "supply_curve[I,:varcost] .= \n",
    "    supply_curve[I,:heat_rate_mmbtu_per_mwh] .* \n",
    "        supply_curve[I,:fuel_cost] .+\n",
    "    supply_curve[I,:var_om_cost_per_mwh]\n",
    "\n",
    "# Calculate available capacity for each generator\n",
    "supply_curve[I,:cap] = supply_curve[I,:existing_cap_mw]\n",
    "\n",
    "# Store varcost of variable generators (in this case, 0)\n",
    "I = (supply_curve[:,:is_variable] .== 1) # `I` contains indexes to the variable generators\n",
    "supply_curve[I,:varcost] = supply_curve[I,:var_om_cost_per_mwh]\n",
    "\n",
    "# Calculate available capacity for each generator\n",
    "# (adjusted for variable generation)\n",
    "supply_curve[I,:cap] = supply_curve[I,:existing_cap_mw] .* supply_curve[I,:cf]\n",
    "\n",
    "sort!(supply_curve, :varcost);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's plot this as a supply curve where:\n",
    "\n",
    "- width = capacity of the generator (i.e., $Pmax$)\n",
    "- height = variable cost of the generator ($VarCost$)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(142, 151, 30, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0,
          42,
          42,
          0,
          0
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          0,
          0,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(0, 169, 204, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          42,
          107.41055999999999,
          107.41055999999999,
          42,
          42
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          0,
          0,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(155, 127, 233, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          107.41055999999999,
          110.595492,
          110.595492,
          107.41055999999999,
          107.41055999999999
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          0,
          0,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(97, 141, 246, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          110.595492,
          395.345492,
          395.345492,
          110.595492,
          110.595492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          0,
          0,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(240, 96, 115, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          395.345492,
          416.74549199999996,
          416.74549199999996,
          395.345492,
          395.345492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          5.234,
          5.234,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(221, 101, 182, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          416.74549199999996,
          986.745492,
          986.745492,
          416.74549199999996,
          416.74549199999996
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          21.775499999999997,
          21.775499999999997,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(108, 159, 51, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          986.745492,
          1593.845492,
          1593.845492,
          986.745492,
          986.745492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          22.726399999999995,
          22.726399999999995,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(0, 154, 250, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1593.845492,
          1643.245492,
          1643.245492,
          1593.845492,
          1593.845492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          29.3061,
          29.3061,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(227, 111, 71, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1643.245492,
          1673.245492,
          1673.245492,
          1643.245492,
          1643.245492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          30.128500000000003,
          30.128500000000003,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(62, 164, 78, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1673.245492,
          2009.245492,
          2009.245492,
          1673.245492,
          1673.245492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          36.5771,
          36.5771,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(195, 113, 210, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2009.245492,
          2345.245492,
          2345.245492,
          2009.245492,
          2009.245492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          36.757,
          36.757,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(172, 142, 24, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2345.245492,
          2395.145492,
          2395.145492,
          2345.245492,
          2345.245492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          37.733599999999996,
          37.733599999999996,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(0, 170, 174, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2395.145492,
          2491.745492,
          2491.745492,
          2395.145492,
          2395.145492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          37.785,
          37.785,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(237, 94, 147, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2491.745492,
          2583.345492,
          2583.345492,
          2491.745492,
          2491.745492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          38.2733,
          38.2733,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(198, 130, 37, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2583.345492,
          2631.445492,
          2631.445492,
          2583.345492,
          2583.345492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.172799999999995,
          39.172799999999995,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(0, 169, 141, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2631.445492,
          2682.745492,
          2682.745492,
          2631.445492,
          2631.445492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.2756,
          39.2756,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(142, 151, 30, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2682.745492,
          2734.045492,
          2734.045492,
          2682.745492,
          2682.745492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.3784,
          39.3784,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(0, 169, 204, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2734.045492,
          2832.245492,
          2832.245492,
          2734.045492,
          2734.045492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.4555,
          39.4555,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(155, 127, 233, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2832.245492,
          2930.445492,
          2930.445492,
          2832.245492,
          2832.245492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.583999999999996,
          39.583999999999996,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(97, 141, 246, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2930.445492,
          2979.345492,
          2979.345492,
          2930.445492,
          2930.445492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.635400000000004,
          39.635400000000004,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(240, 96, 115, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          2979.345492,
          3028.245492,
          3028.245492,
          2979.345492,
          2979.345492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          39.841,
          39.841,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(221, 101, 182, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          3028.245492,
          3076.945492,
          3076.945492,
          3028.245492,
          3028.245492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          40.2522,
          40.2522,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(108, 159, 51, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          3076.945492,
          3081.745492,
          3081.745492,
          3076.945492,
          3076.945492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          41.9741,
          41.9741,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(0, 154, 250, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          3081.745492,
          3099.045492,
          3099.045492,
          3081.745492,
          3081.745492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          45.674899999999994,
          45.674899999999994,
          0
         ],
         "yaxis": "y1"
        },
        {
         "fill": "tozeroy",
         "fillcolor": "rgba(227, 111, 71, 0.500)",
         "hoverinfo": "none",
         "legendgroup": "",
         "line": {
          "color": "rgba(0, 0, 0, 0.500)",
          "dash": "solid",
          "width": 1
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          3099.045492,
          3133.645492,
          3133.645492,
          3099.045492,
          3099.045492
         ],
         "xaxis": "x1",
         "y": [
          0,
          0,
          54.1302,
          54.1302,
          0
         ],
         "yaxis": "y1"
        },
        {
         "colorbar": {
          "title": ""
         },
         "legendgroup": "demand",
         "line": {
          "color": "rgba(0, 0, 0, 1.000)",
          "dash": "solid",
          "shape": "linear",
          "width": 5
         },
         "mode": "lines",
         "name": "demand",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2482,
          2482
         ],
         "xaxis": "x",
         "y": [
          -5739.425106,
          5793.555306
         ],
         "yaxis": "y",
         "zmax": null,
         "zmin": null
        },
        {
         "colorbar": {
          "title": ""
         },
         "legendgroup": "SRMC",
         "line": {
          "color": "rgba(0, 0, 255, 1.000)",
          "dash": "solid",
          "shape": "linear",
          "width": 5
         },
         "mode": "lines",
         "name": "SRMC",
         "showlegend": true,
         "type": "scatter",
         "x": [
          -332260.43151676,
          335394.07700876
         ],
         "xaxis": "x",
         "y": [
          37.785,
          37.785
         ],
         "yaxis": "y",
         "zmax": null,
         "zmin": null
        }
       ],
       "layout": {
        "annotations": [
         {
          "font": {
           "color": "rgba(0, 0, 0, 1.000)",
           "family": "sans-serif",
           "size": 20
          },
          "rotation": 0,
          "showarrow": false,
          "text": "Supply and demand curves",
          "x": 0.5275462962962963,
          "xanchor": "center",
          "xref": "paper",
          "y": 1,
          "yanchor": "top",
          "yref": "paper"
         }
        ],
        "height": 400,
        "legend": {
         "bgcolor": "rgba(255, 255, 255, 1.000)",
         "bordercolor": "rgba(0, 0, 0, 1.000)",
         "borderwidth": 1,
         "font": {
          "color": "rgba(0, 0, 0, 1.000)",
          "family": "sans-serif",
          "size": 11
         },
         "title": {
          "font": {
           "color": "rgba(0, 0, 0, 1.000)",
           "family": "sans-serif",
           "size": 15
          },
          "text": ""
         },
         "tracegroupgap": 0,
         "traceorder": "normal",
         "x": 1,
         "xanchor": "auto",
         "y": 1,
         "yanchor": "auto"
        },
        "margin": {
         "b": 20,
         "l": 0,
         "r": 0,
         "t": 20
        },
        "paper_bgcolor": "rgba(255, 255, 255, 1.000)",
        "plot_bgcolor": "rgba(255, 255, 255, 1.000)",
        "showlegend": true,
        "width": 600,
        "xaxis": {
         "anchor": "y",
         "domain": [
          0.061654272382618835,
          0.9934383202099737
         ],
         "gridcolor": "rgba(0, 0, 0, 0.100)",
         "gridwidth": 0.5,
         "linecolor": "rgba(0, 0, 0, 1.000)",
         "mirror": false,
         "range": [
          -94.00936476,
          3227.6548567600003
         ],
         "showgrid": true,
         "showline": true,
         "showticklabels": true,
         "tickangle": 0,
         "tickcolor": "rgb(0, 0, 0)",
         "tickfont": {
          "color": "rgba(0, 0, 0, 1.000)",
          "family": "sans-serif",
          "size": 11
         },
         "tickmode": "array",
         "ticks": "inside",
         "ticktext": [
          "0",
          "1000",
          "2000",
          "3000"
         ],
         "tickvals": [
          0,
          1000,
          2000,
          3000
         ],
         "title": "Capacity",
         "titlefont": {
          "color": "rgba(0, 0, 0, 1.000)",
          "family": "sans-serif",
          "size": 15
         },
         "type": "-",
         "visible": true,
         "zeroline": false,
         "zerolinecolor": "rgba(0, 0, 0, 1.000)"
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0.07581474190726165,
          0.9415463692038496
         ],
         "gridcolor": "rgba(0, 0, 0, 0.100)",
         "gridwidth": 0.5,
         "linecolor": "rgba(0, 0, 0, 1.000)",
         "mirror": false,
         "range": [
          -1.623906,
          55.754106
         ],
         "showgrid": true,
         "showline": true,
         "showticklabels": true,
         "tickangle": 0,
         "tickcolor": "rgb(0, 0, 0)",
         "tickfont": {
          "color": "rgba(0, 0, 0, 1.000)",
          "family": "sans-serif",
          "size": 11
         },
         "tickmode": "array",
         "ticks": "inside",
         "ticktext": [
          "0",
          "10",
          "20",
          "30",
          "40",
          "50"
         ],
         "tickvals": [
          0,
          10,
          20,
          30,
          40,
          50
         ],
         "title": "Marginal cost",
         "titlefont": {
          "color": "rgba(0, 0, 0, 1.000)",
          "family": "sans-serif",
          "size": 15
         },
         "type": "-",
         "visible": true,
         "zeroline": false,
         "zerolinecolor": "rgba(0, 0, 0, 1.000)"
        }
       }
      },
      "text/html": [
       "    <div id=\"588be611-416d-495f-b008-f9a578204c1e\" style=\"width:600px;height:400px;\"></div>\n",
       "    <script>\n",
       "        requirejs.config({\n",
       "        paths: {\n",
       "            Plotly: 'https://cdn.plot.ly/plotly-1.57.1.min'\n",
       "        }\n",
       "    });\n",
       "    require(['Plotly'], function (Plotly) {\n",
       "\n",
       "        var PLOT = document.getElementById('588be611-416d-495f-b008-f9a578204c1e');\n",
       "    Plotly.plot(PLOT, [\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            0.0,\n",
       "            42.0,\n",
       "            42.0,\n",
       "            0.0,\n",
       "            0.0\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(142, 151, 30, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            42.0,\n",
       "            107.41055999999999,\n",
       "            107.41055999999999,\n",
       "            42.0,\n",
       "            42.0\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(0, 169, 204, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            107.41055999999999,\n",
       "            110.595492,\n",
       "            110.595492,\n",
       "            107.41055999999999,\n",
       "            107.41055999999999\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(155, 127, 233, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            110.595492,\n",
       "            395.345492,\n",
       "            395.345492,\n",
       "            110.595492,\n",
       "            110.595492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(97, 141, 246, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            395.345492,\n",
       "            416.74549199999996,\n",
       "            416.74549199999996,\n",
       "            395.345492,\n",
       "            395.345492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(240, 96, 115, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            5.234,\n",
       "            5.234,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            416.74549199999996,\n",
       "            986.745492,\n",
       "            986.745492,\n",
       "            416.74549199999996,\n",
       "            416.74549199999996\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(221, 101, 182, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            21.775499999999997,\n",
       "            21.775499999999997,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            986.745492,\n",
       "            1593.845492,\n",
       "            1593.845492,\n",
       "            986.745492,\n",
       "            986.745492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(108, 159, 51, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            22.726399999999995,\n",
       "            22.726399999999995,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            1593.845492,\n",
       "            1643.245492,\n",
       "            1643.245492,\n",
       "            1593.845492,\n",
       "            1593.845492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(0, 154, 250, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            29.3061,\n",
       "            29.3061,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            1643.245492,\n",
       "            1673.245492,\n",
       "            1673.245492,\n",
       "            1643.245492,\n",
       "            1643.245492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(227, 111, 71, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            30.128500000000003,\n",
       "            30.128500000000003,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            1673.245492,\n",
       "            2009.245492,\n",
       "            2009.245492,\n",
       "            1673.245492,\n",
       "            1673.245492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(62, 164, 78, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            36.5771,\n",
       "            36.5771,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2009.245492,\n",
       "            2345.245492,\n",
       "            2345.245492,\n",
       "            2009.245492,\n",
       "            2009.245492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(195, 113, 210, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            36.757,\n",
       "            36.757,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2345.245492,\n",
       "            2395.145492,\n",
       "            2395.145492,\n",
       "            2345.245492,\n",
       "            2345.245492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(172, 142, 24, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            37.733599999999996,\n",
       "            37.733599999999996,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2395.145492,\n",
       "            2491.745492,\n",
       "            2491.745492,\n",
       "            2395.145492,\n",
       "            2395.145492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(0, 170, 174, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            37.785,\n",
       "            37.785,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2491.745492,\n",
       "            2583.345492,\n",
       "            2583.345492,\n",
       "            2491.745492,\n",
       "            2491.745492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(237, 94, 147, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            38.2733,\n",
       "            38.2733,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2583.345492,\n",
       "            2631.445492,\n",
       "            2631.445492,\n",
       "            2583.345492,\n",
       "            2583.345492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(198, 130, 37, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.172799999999995,\n",
       "            39.172799999999995,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2631.445492,\n",
       "            2682.745492,\n",
       "            2682.745492,\n",
       "            2631.445492,\n",
       "            2631.445492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(0, 169, 141, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.2756,\n",
       "            39.2756,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2682.745492,\n",
       "            2734.045492,\n",
       "            2734.045492,\n",
       "            2682.745492,\n",
       "            2682.745492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(142, 151, 30, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.3784,\n",
       "            39.3784,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2734.045492,\n",
       "            2832.245492,\n",
       "            2832.245492,\n",
       "            2734.045492,\n",
       "            2734.045492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(0, 169, 204, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.4555,\n",
       "            39.4555,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2832.245492,\n",
       "            2930.445492,\n",
       "            2930.445492,\n",
       "            2832.245492,\n",
       "            2832.245492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(155, 127, 233, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.583999999999996,\n",
       "            39.583999999999996,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2930.445492,\n",
       "            2979.345492,\n",
       "            2979.345492,\n",
       "            2930.445492,\n",
       "            2930.445492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(97, 141, 246, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.635400000000004,\n",
       "            39.635400000000004,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            2979.345492,\n",
       "            3028.245492,\n",
       "            3028.245492,\n",
       "            2979.345492,\n",
       "            2979.345492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(240, 96, 115, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            39.841,\n",
       "            39.841,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            3028.245492,\n",
       "            3076.945492,\n",
       "            3076.945492,\n",
       "            3028.245492,\n",
       "            3028.245492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(221, 101, 182, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            40.2522,\n",
       "            40.2522,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            3076.945492,\n",
       "            3081.745492,\n",
       "            3081.745492,\n",
       "            3076.945492,\n",
       "            3076.945492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(108, 159, 51, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            41.9741,\n",
       "            41.9741,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            3081.745492,\n",
       "            3099.045492,\n",
       "            3099.045492,\n",
       "            3081.745492,\n",
       "            3081.745492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(0, 154, 250, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            45.674899999999994,\n",
       "            45.674899999999994,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x1\",\n",
       "        \"fill\": \"tozeroy\",\n",
       "        \"yaxis\": \"y1\",\n",
       "        \"x\": [\n",
       "            3099.045492,\n",
       "            3133.645492,\n",
       "            3133.645492,\n",
       "            3099.045492,\n",
       "            3099.045492\n",
       "        ],\n",
       "        \"showlegend\": false,\n",
       "        \"mode\": \"lines\",\n",
       "        \"fillcolor\": \"rgba(227, 111, 71, 0.500)\",\n",
       "        \"name\": \"\",\n",
       "        \"legendgroup\": \"\",\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 0.500)\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 1\n",
       "        },\n",
       "        \"y\": [\n",
       "            0.0,\n",
       "            0.0,\n",
       "            54.1302,\n",
       "            54.1302,\n",
       "            0.0\n",
       "        ],\n",
       "        \"type\": \"scatter\",\n",
       "        \"hoverinfo\": \"none\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x\",\n",
       "        \"colorbar\": {\n",
       "            \"title\": \"\"\n",
       "        },\n",
       "        \"yaxis\": \"y\",\n",
       "        \"x\": [\n",
       "            2482.0,\n",
       "            2482.0\n",
       "        ],\n",
       "        \"showlegend\": true,\n",
       "        \"mode\": \"lines\",\n",
       "        \"name\": \"demand\",\n",
       "        \"zmin\": null,\n",
       "        \"legendgroup\": \"demand\",\n",
       "        \"zmax\": null,\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "            \"shape\": \"linear\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 5\n",
       "        },\n",
       "        \"y\": [\n",
       "            -5739.425106,\n",
       "            5793.555306\n",
       "        ],\n",
       "        \"type\": \"scatter\"\n",
       "    },\n",
       "    {\n",
       "        \"xaxis\": \"x\",\n",
       "        \"colorbar\": {\n",
       "            \"title\": \"\"\n",
       "        },\n",
       "        \"yaxis\": \"y\",\n",
       "        \"x\": [\n",
       "            -332260.43151676,\n",
       "            335394.07700876\n",
       "        ],\n",
       "        \"showlegend\": true,\n",
       "        \"mode\": \"lines\",\n",
       "        \"name\": \"SRMC\",\n",
       "        \"zmin\": null,\n",
       "        \"legendgroup\": \"SRMC\",\n",
       "        \"zmax\": null,\n",
       "        \"line\": {\n",
       "            \"color\": \"rgba(0, 0, 255, 1.000)\",\n",
       "            \"shape\": \"linear\",\n",
       "            \"dash\": \"solid\",\n",
       "            \"width\": 5\n",
       "        },\n",
       "        \"y\": [\n",
       "            37.785,\n",
       "            37.785\n",
       "        ],\n",
       "        \"type\": \"scatter\"\n",
       "    }\n",
       "]\n",
       ", {\n",
       "    \"showlegend\": true,\n",
       "    \"xaxis\": {\n",
       "        \"showticklabels\": true,\n",
       "        \"gridwidth\": 0.5,\n",
       "        \"tickvals\": [\n",
       "            0.0,\n",
       "            1000.0,\n",
       "            2000.0,\n",
       "            3000.0\n",
       "        ],\n",
       "        \"range\": [\n",
       "            -94.00936476,\n",
       "            3227.6548567600003\n",
       "        ],\n",
       "        \"domain\": [\n",
       "            0.061654272382618835,\n",
       "            0.9934383202099737\n",
       "        ],\n",
       "        \"mirror\": false,\n",
       "        \"tickangle\": 0,\n",
       "        \"showline\": true,\n",
       "        \"ticktext\": [\n",
       "            \"0\",\n",
       "            \"1000\",\n",
       "            \"2000\",\n",
       "            \"3000\"\n",
       "        ],\n",
       "        \"zeroline\": false,\n",
       "        \"tickfont\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "            \"family\": \"sans-serif\",\n",
       "            \"size\": 11\n",
       "        },\n",
       "        \"zerolinecolor\": \"rgba(0, 0, 0, 1.000)\",\n",
       "        \"anchor\": \"y\",\n",
       "        \"visible\": true,\n",
       "        \"ticks\": \"inside\",\n",
       "        \"tickmode\": \"array\",\n",
       "        \"linecolor\": \"rgba(0, 0, 0, 1.000)\",\n",
       "        \"showgrid\": true,\n",
       "        \"title\": \"Capacity\",\n",
       "        \"gridcolor\": \"rgba(0, 0, 0, 0.100)\",\n",
       "        \"titlefont\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "            \"family\": \"sans-serif\",\n",
       "            \"size\": 15\n",
       "        },\n",
       "        \"tickcolor\": \"rgb(0, 0, 0)\",\n",
       "        \"type\": \"-\"\n",
       "    },\n",
       "    \"paper_bgcolor\": \"rgba(255, 255, 255, 1.000)\",\n",
       "    \"annotations\": [\n",
       "        {\n",
       "            \"yanchor\": \"top\",\n",
       "            \"xanchor\": \"center\",\n",
       "            \"rotation\": -0.0,\n",
       "            \"y\": 1.0,\n",
       "            \"font\": {\n",
       "                \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "                \"family\": \"sans-serif\",\n",
       "                \"size\": 20\n",
       "            },\n",
       "            \"yref\": \"paper\",\n",
       "            \"showarrow\": false,\n",
       "            \"text\": \"Supply and demand curves\",\n",
       "            \"xref\": \"paper\",\n",
       "            \"x\": 0.5275462962962963\n",
       "        }\n",
       "    ],\n",
       "    \"height\": 400,\n",
       "    \"margin\": {\n",
       "        \"l\": 0,\n",
       "        \"b\": 20,\n",
       "        \"r\": 0,\n",
       "        \"t\": 20\n",
       "    },\n",
       "    \"plot_bgcolor\": \"rgba(255, 255, 255, 1.000)\",\n",
       "    \"yaxis\": {\n",
       "        \"showticklabels\": true,\n",
       "        \"gridwidth\": 0.5,\n",
       "        \"tickvals\": [\n",
       "            0.0,\n",
       "            10.0,\n",
       "            20.0,\n",
       "            30.0,\n",
       "            40.0,\n",
       "            50.0\n",
       "        ],\n",
       "        \"range\": [\n",
       "            -1.623906,\n",
       "            55.754106\n",
       "        ],\n",
       "        \"domain\": [\n",
       "            0.07581474190726165,\n",
       "            0.9415463692038496\n",
       "        ],\n",
       "        \"mirror\": false,\n",
       "        \"tickangle\": 0,\n",
       "        \"showline\": true,\n",
       "        \"ticktext\": [\n",
       "            \"0\",\n",
       "            \"10\",\n",
       "            \"20\",\n",
       "            \"30\",\n",
       "            \"40\",\n",
       "            \"50\"\n",
       "        ],\n",
       "        \"zeroline\": false,\n",
       "        \"tickfont\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "            \"family\": \"sans-serif\",\n",
       "            \"size\": 11\n",
       "        },\n",
       "        \"zerolinecolor\": \"rgba(0, 0, 0, 1.000)\",\n",
       "        \"anchor\": \"x\",\n",
       "        \"visible\": true,\n",
       "        \"ticks\": \"inside\",\n",
       "        \"tickmode\": \"array\",\n",
       "        \"linecolor\": \"rgba(0, 0, 0, 1.000)\",\n",
       "        \"showgrid\": true,\n",
       "        \"title\": \"Marginal cost\",\n",
       "        \"gridcolor\": \"rgba(0, 0, 0, 0.100)\",\n",
       "        \"titlefont\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "            \"family\": \"sans-serif\",\n",
       "            \"size\": 15\n",
       "        },\n",
       "        \"tickcolor\": \"rgb(0, 0, 0)\",\n",
       "        \"type\": \"-\"\n",
       "    },\n",
       "    \"legend\": {\n",
       "        \"yanchor\": \"auto\",\n",
       "        \"xanchor\": \"auto\",\n",
       "        \"bordercolor\": \"rgba(0, 0, 0, 1.000)\",\n",
       "        \"bgcolor\": \"rgba(255, 255, 255, 1.000)\",\n",
       "        \"borderwidth\": 1,\n",
       "        \"tracegroupgap\": 0,\n",
       "        \"y\": 1.0,\n",
       "        \"font\": {\n",
       "            \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "            \"family\": \"sans-serif\",\n",
       "            \"size\": 11\n",
       "        },\n",
       "        \"title\": {\n",
       "            \"font\": {\n",
       "                \"color\": \"rgba(0, 0, 0, 1.000)\",\n",
       "                \"family\": \"sans-serif\",\n",
       "                \"size\": 15\n",
       "            },\n",
       "            \"text\": \"\"\n",
       "        },\n",
       "        \"traceorder\": \"normal\",\n",
       "        \"x\": 1.0\n",
       "    },\n",
       "    \"width\": 600\n",
       "}\n",
       ");\n",
       "\n",
       "    });\n",
       "    </script>\n"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rectangle(w, h, x, y) = Shape(x .+ [0,w,w,0], y .+ [0,0,h,h])\n",
    "\n",
    "p = plot(nrow(supply_curve))\n",
    "\n",
    "marg_gen = 0\n",
    "marg_price = 0\n",
    "x = 0\n",
    "for i in 1:nrow(supply_curve)\n",
    "    plot!(p, rectangle(supply_curve[i,:cap],\n",
    "            supply_curve[i,:varcost],x,0), opacity=.5, \n",
    "            label = \"\")\n",
    "    if (x < loads_single[1,:demand]) && (x + supply_curve[i,:cap] > loads_single[1,:demand])\n",
    "        marg_gen = i\n",
    "        marg_price = supply_curve[i,:varcost]\n",
    "    end\n",
    "    x = x + supply_curve[i,:cap]\n",
    "end \n",
    "vline!([loads_single[1,:demand]],linecolor=\"black\",linewidth=5,\n",
    "label = \"demand\")\n",
    "hline!([marg_price],linecolor=\"blue\",linewidth=5,\n",
    "label = \"SRMC\")\n",
    "title!(\"Supply and demand curves\")\n",
    "xlabel!(\"Capacity\")\n",
    "ylabel!(\"Marginal cost\")\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the above, everything to the left of demand is dispatched at full capacity, except for the last generator (the \"marginal generator\") where demand stops. Everything to the right is not dispatched (=0). We stored the marginal generator in `marg_gen`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>DataFrameRow (34 columns)</p><div class=\"data-frame\"><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>resource</th><th>region</th><th>existing_cap_mw</th><th>num_units</th><th>cap_size</th><th>var_om_cost_per_mwh</th><th>var_om_cost_per_mwh_in</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, String}\">String?</th><th title=\"Union{Missing, Float64}\">Float64?</th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Union{Missing, Float64}\">Float64?</th><th title=\"Union{Missing, Float64}\">Float64?</th><th title=\"Union{Missing, Int64}\">Int64?</th></tr></thead><tbody><tr><th>13</th><td>13</td><td>natural_gas_fired_combustion_turbine</td><td>WEC_SDGE</td><td>96.6</td><td>3</td><td>32.2</td><td>10.8</td><td>0</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ccccccccc}\n",
       "\t& r\\_id & resource & region & existing\\_cap\\_mw & num\\_units & cap\\_size & var\\_om\\_cost\\_per\\_mwh & var\\_om\\_cost\\_per\\_mwh\\_in & \\\\\n",
       "\t\\hline\n",
       "\t& Int64? & String? & String? & Float64? & Int64? & Float64? & Float64? & Int64? & \\\\\n",
       "\t\\hline\n",
       "\t13 & 13 & natural\\_gas\\_fired\\_combustion\\_turbine & WEC\\_SDGE & 96.6 & 3 & 32.2 & 10.8 & 0 & $\\dots$ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1mDataFrameRow\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m resource                          \u001b[0m\u001b[1m region   \u001b[0m\u001b[1m existing_cap_mw \u001b[0m\u001b[1m num_units \u001b[0m\u001b[1m cap_size \u001b[0m\u001b[1m var_om_cost_per_mwh \u001b[0m\u001b[1m\u001b[0m ⋯\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m String?                           \u001b[0m\u001b[90m String?  \u001b[0m\u001b[90m Float64?        \u001b[0m\u001b[90m Int64?    \u001b[0m\u001b[90m Float64? \u001b[0m\u001b[90m Float64?            \u001b[0m\u001b[90m\u001b[0m ⋯\n",
       "─────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
       "  13 │     13  natural_gas_fired_combustion_tur…  WEC_SDGE             96.6          3      32.2                 10.8  ⋯\n",
       "\u001b[36m                                                                                                      27 columns omitted\u001b[0m"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "supply_curve[marg_gen,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which is generating $GEN_{marg\\_gen}=$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86.85450800000007"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "solution.solution[solution.solution.r_id .== supply_curve[marg_gen,:r_id],\n",
    "    :gen][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Combine by generation type**\n",
    "\n",
    "We are often interested in the total generation *by type*, not individual generators. We use `combine` and `groupby` methods to sum over resource:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌──────────────────────────────────────┬──────────┐\n",
      "│\u001b[1m                             resource \u001b[0m│\u001b[1m  gen_sum \u001b[0m│\n",
      "│\u001b[90m                              String? \u001b[0m│\u001b[90m  Float64 \u001b[0m│\n",
      "├──────────────────────────────────────┼──────────┤\n",
      "│                              biomass │   21.400 │\n",
      "│         hydroelectric_pumped_storage │   42.000 │\n",
      "│     natural_gas_fired_combined_cycle │ 1928.500 │\n",
      "│ natural_gas_fired_combustion_turbine │  136.755 │\n",
      "│                 onshore_wind_turbine │   65.411 │\n",
      "│                  small_hydroelectric │    3.185 │\n",
      "│                   solar_photovoltaic │  284.750 │\n",
      "└──────────────────────────────────────┴──────────┘\n"
     ]
    }
   ],
   "source": [
    "sol_gen = combine(groupby(solution.solution, :resource), \n",
    "            :gen => sum)\n",
    "# We use the PrettyTable package here to round numbers when displaying\n",
    "pretty_table(sol_gen, formatters = ft_printf(\"%5.3f\")) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's add back the 600MW of behind-the-meter solar to get a full picture of all the electricity on the grid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌──────────────────────────────────────┬──────────┐\n",
      "│\u001b[1m                             resource \u001b[0m│\u001b[1m  gen_sum \u001b[0m│\n",
      "│\u001b[90m                              String? \u001b[0m│\u001b[90m  Float64 \u001b[0m│\n",
      "├──────────────────────────────────────┼──────────┤\n",
      "│                              biomass │   21.400 │\n",
      "│         hydroelectric_pumped_storage │   42.000 │\n",
      "│     natural_gas_fired_combined_cycle │ 1928.500 │\n",
      "│ natural_gas_fired_combustion_turbine │  136.755 │\n",
      "│                 onshore_wind_turbine │   65.411 │\n",
      "│                  small_hydroelectric │    3.185 │\n",
      "│                   solar_photovoltaic │  284.750 │\n",
      "│               solar_photovoltaic_btm │  341.700 │\n",
      "└──────────────────────────────────────┴──────────┘\n"
     ]
    }
   ],
   "source": [
    "# we use the copy function to create a copy of the dataframe (as opposed to working with the original)\n",
    "sol_gen_btm = copy(sol_gen)\n",
    "\n",
    "# We'll use the same variability profile for BTM solar as the utility-scale solar here (in reality, they would probably differ)\n",
    "btm = DataFrame(resource = [\"solar_photovoltaic_btm\"], gen_sum = var_cf_single[var_cf_single.gen_full .== \"wec_sdge_solar_photovoltaic_1.0\",:cf] * 600)\n",
    "append!(sol_gen_btm, btm)\n",
    "pretty_table(sol_gen_btm, formatters = ft_printf(\"%5.3f\")) # We use the PrettyTable package to round numbers when displaying"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hence, the majority of energy is being met by combined cycle natural gas turbines (CCGT), second by solar PV, and third by behind-the-meter solar."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiple-time period, simple generator constraints\n",
    "\n",
    "We neglected the time dimension above and now we will add it back in. The key changes to the model arise from adding an additional index for time:\n",
    "\n",
    "$$\n",
    "\\begin{align}\n",
    "\\min \\ & \\sum_{g \\in G, t \\in T} VarCost_g \\times GEN_{g,t} & \\\\\n",
    "\\text{s.t.} & \\\\\n",
    " & \\sum_{g} GEN_{g,t} = Demand_t & \\forall \\quad t \\in T \\\\\n",
    " & GEN_{g,t} \\leq Pmax_{g,t} & \\forall \\quad g \\in G , t \\in T \\\\\n",
    " & GEN_{g,t} \\geq Pmin_{g,t} & \\forall \\quad g \\in G , t \\in T\n",
    "\\end{align}\n",
    "$$\n",
    "\n",
    "\n",
    "Note that for conventional generators, we often have $Pmax_{g,t} = Pmax_{g}$ and $Pmin_{g,t} = Pmin_{g}$ constant over time. (We will consider unit commitment later, which will alter this logic.)\n",
    "\n",
    "For variable renewable generators, it is natural that $Pmax_{g,t}$ varies with time (i.e., based on solar irradiation or wind speeds). $Pmin_{g,t}$ for wind and solar resources is usually 0, but for hydropower resources, minimum streamflow constraints can produce a time-variant parameter."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Create solver function\n",
    "\n",
    "(We reuse steps 1 and 2 above to load packages and data.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "economic_dispatch_multi (generic function with 1 method)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#=\n",
    "Function to solve economic dispatch problem (multi-time period, single-zone)\n",
    "Inputs:\n",
    "    gen_df -- dataframe with generator info\n",
    "    loads  -- load by time\n",
    "    gen_variable -- capacity factors of variable generators (in \"long\" format)\n",
    "=#\n",
    "function economic_dispatch_multi(gen_df, loads, gen_variable)\n",
    "    ED = Model(GLPK.Optimizer)\n",
    "\n",
    "    # Define sets based on data\n",
    "    G_var = gen_df[gen_df[!,:is_variable] .== 1,:r_id] \n",
    "    G_nonvar = gen_df[gen_df[!,:is_variable] .== 0,:r_id]\n",
    "    G = gen_df.r_id\n",
    "    T = loads.hour\n",
    "\n",
    "    # Generator capacity factor time series for variable generators\n",
    "    gen_var_cf = innerjoin(gen_variable, \n",
    "                    gen_df[gen_df.is_variable .== 1 , \n",
    "                        [:r_id, :gen_full, :existing_cap_mw]], \n",
    "                    on = :gen_full)\n",
    "        \n",
    "    # Decision variables   \n",
    "    @variables(ED, begin\n",
    "        GEN[G, T]  >= 0     # generation\n",
    "        # Note: we assume Pmin = 0 for all resources for simplicty here\n",
    "    end)\n",
    "                \n",
    "    # Objective function\n",
    "    @objective(ED, Min, \n",
    "        sum( (gen_df[gen_df.r_id .== i,:heat_rate_mmbtu_per_mwh][1] * gen_df[gen_df.r_id .== i,:fuel_cost][1] +\n",
    "            gen_df[gen_df.r_id .== i,:var_om_cost_per_mwh][1]) * GEN[i,t] \n",
    "                        for i in G_nonvar for t in T) + \n",
    "        sum(gen_df[gen_df.r_id .== i,:var_om_cost_per_mwh][1] * GEN[i,t] \n",
    "                        for i in G_var for t in T)\n",
    "    )\n",
    "    \n",
    "    # Demand constraint\n",
    "    @constraint(ED, cDemand[t in T], \n",
    "        sum(GEN[i,t] for i in G) == loads[loads.hour .== t,:demand][1])\n",
    "\n",
    "    # Capacity constraints (non-variable generation)\n",
    "    @constraint(ED, Cap_nonvar[i in G_nonvar, t in T], \n",
    "        GEN[i,t] <= gen_df[gen_df.r_id .== i,:existing_cap_mw][1])\n",
    "\n",
    "    # Variable generation capacity constraints\n",
    "    @constraint(ED, Cap_var[i in 1:nrow(gen_var_cf)], \n",
    "            GEN[gen_var_cf[i,:r_id], gen_var_cf[i,:hour] ] <= \n",
    "                        gen_var_cf[i,:cf] *\n",
    "                        gen_var_cf[i,:existing_cap_mw])\n",
    "    \n",
    "    # Solve statement (! indicates runs in place)\n",
    "    optimize!(ED)\n",
    "\n",
    "    # Dataframe of optimal decision variables\n",
    "    # This requires a few extra steps because we are indexing decision variables over two sets: generator and time\n",
    "    solution = DataFrame(value.(GEN).data, :auto)  # :auto argument asks DataFrames to pick the variable names automatically\n",
    "    ax1 = value.(GEN).axes[1]\n",
    "    ax2 = value.(GEN).axes[2]\n",
    "    cols = names(solution)\n",
    "    insertcols!(solution, 1, :r_id => ax1)\n",
    "    solution = stack(solution, Not(:r_id), variable_name=:hour)\n",
    "    solution.hour = foldl(replace, [cols[i] => ax2[i] for i in 1:length(ax2)], init=solution.hour)\n",
    "    rename!(solution, :value => :gen)\n",
    "    solution.hour = convert.(Int64,solution.hour)\n",
    "    \n",
    "    # Return the solution and objective as named tuple\n",
    "    return (\n",
    "        solution = solution, \n",
    "        cost = objective_value(ED),\n",
    "        status = termination_status(ED)\n",
    "    )\n",
    "\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Solve a day's economic dispatch\n",
    "\n",
    "We will subset our year-long dataset to a single spring day and solve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "n=100\n",
    "T_period = (n*24+1):((n+1)*24)\n",
    "\n",
    "loads_multi = loads[in.(loads.hour,Ref(T_period)),:]\n",
    "gen_variable_multi = gen_variable_long[in.(gen_variable_long.hour,Ref(T_period)),:]\n",
    "\n",
    "gen_df_sens = copy(gen_df)\n",
    "gen_df_sens[gen_df_sens.resource .== \"solar_photovoltaic\",\n",
    "    :existing_cap_mw] .= 3500\n",
    "\n",
    "solution = economic_dispatch_multi(gen_df_sens, loads_multi, gen_variable_multi);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>8 rows × 2 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>resource</th><th>gen_sum_sum</th></tr><tr><th></th><th title=\"Union{Missing, String}\">String?</th><th title=\"Float64\">Float64</th></tr></thead><tbody><tr><th>1</th><td>_onshore_wind_turbine</td><td>2314.42</td></tr><tr><th>2</th><td>_small_hydroelectric</td><td>76.4384</td></tr><tr><th>3</th><td>_solar_photovoltaic</td><td>20546.0</td></tr><tr><th>4</th><td>_solar_photovoltaic_btm</td><td>3522.18</td></tr><tr><th>5</th><td>biomass</td><td>513.6</td></tr><tr><th>6</th><td>hydroelectric_pumped_storage</td><td>1008.0</td></tr><tr><th>7</th><td>natural_gas_fired_combined_cycle</td><td>29749.6</td></tr><tr><th>8</th><td>natural_gas_fired_combustion_turbine</td><td>1224.89</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cc}\n",
       "\t& resource & gen\\_sum\\_sum\\\\\n",
       "\t\\hline\n",
       "\t& String? & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & \\_onshore\\_wind\\_turbine & 2314.42 \\\\\n",
       "\t2 & \\_small\\_hydroelectric & 76.4384 \\\\\n",
       "\t3 & \\_solar\\_photovoltaic & 20546.0 \\\\\n",
       "\t4 & \\_solar\\_photovoltaic\\_btm & 3522.18 \\\\\n",
       "\t5 & biomass & 513.6 \\\\\n",
       "\t6 & hydroelectric\\_pumped\\_storage & 1008.0 \\\\\n",
       "\t7 & natural\\_gas\\_fired\\_combined\\_cycle & 29749.6 \\\\\n",
       "\t8 & natural\\_gas\\_fired\\_combustion\\_turbine & 1224.89 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m8×2 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m resource                          \u001b[0m\u001b[1m gen_sum_sum \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m String?                           \u001b[0m\u001b[90m Float64     \u001b[0m\n",
       "─────┼────────────────────────────────────────────────\n",
       "   1 │ _onshore_wind_turbine                2314.42\n",
       "   2 │ _small_hydroelectric                   76.4384\n",
       "   3 │ _solar_photovoltaic                 20546.0\n",
       "   4 │ _solar_photovoltaic_btm              3522.18\n",
       "   5 │ biomass                               513.6\n",
       "   6 │ hydroelectric_pumped_storage         1008.0\n",
       "   7 │ natural_gas_fired_combined_cycle    29749.6\n",
       "   8 │ natural_gas_fired_combustion_tur…    1224.89"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# **Add back in BTM solar and plot results**\n",
    "\n",
    "sol_gen = innerjoin(solution.solution, \n",
    "                    gen_df[!, [:r_id, :resource]], \n",
    "                    on = :r_id)\n",
    "sol_gen = combine(groupby(sol_gen, [:resource, :hour]), \n",
    "            :gen => sum)\n",
    "sol_gen_btm = copy(sol_gen)\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"solar_photovoltaic\", :resource] .= \"_solar_photovoltaic\"\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"onshore_wind_turbine\", :resource] .= \"_onshore_wind_turbine\"\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"small_hydroelectric\", :resource] .= \"_small_hydroelectric\"\n",
    "\n",
    "btm = DataFrame(resource = repeat([\"_solar_photovoltaic_btm\"]; outer=length(T_period)), \n",
    "    hour = T_period,\n",
    "    gen_sum = gen_variable_multi[gen_variable_multi.gen_full .== \"wec_sdge_solar_photovoltaic_1.0\",:cf] * 600)\n",
    "append!(sol_gen_btm, btm)\n",
    "\n",
    "# Reorder resources\n",
    "sort!(sol_gen_btm, [:hour, :resource])\n",
    "CSV.write(\"results/sol_gen_btm.csv\",sol_gen_btm)\n",
    "\n",
    "sol_gen_sum = combine(groupby(sol_gen_btm, [:resource]), \n",
    "            :gen_sum => sum)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Plot charts**\n",
    "\n",
    "We use the [VegaLite](https://www.queryverse.org/VegaLite.jl/stable/) library to make some fancier plots.\n",
    "\n",
    "We also introduce the pipe operator `|>`, a helpful syntax that \"pipes\" the data on the left into the first argument of the function on the right. (Some more examples are [here](https://syl1.gitbook.io/julia-language-a-concise-tutorial/useful-packages/pipe).)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "data": {
        "values": [
         {
          "gen_sum": 163.3088,
          "hour": 2401,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2401,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2401,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2401,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2401,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2401,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1385.106268,
          "hour": 2401,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2401,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 169.79327999999998,
          "hour": 2402,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2402,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2402,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2402,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2402,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2402,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1316.621788,
          "hour": 2402,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2402,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 115.1104,
          "hour": 2403,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2403,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2403,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2403,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2403,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2403,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1336.304668,
          "hour": 2403,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2403,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 100.55296,
          "hour": 2404,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2404,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2404,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2404,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2404,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2404,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1394.8621079999998,
          "hour": 2404,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2404,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 80.57728000000009,
          "hour": 2405,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2405,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2405,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2405,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2405,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2405,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1585.8377879999998,
          "hour": 2405,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2405,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 139.17695999999998,
          "hour": 2406,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2406,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2406,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2406,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2406,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2406,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1770.238108,
          "hour": 2406,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2406,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 74.17983999999981,
          "hour": 2407,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2407,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 193.54999999999993,
          "hour": 2407,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 33.18,
          "hour": 2407,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2407,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2407,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2407,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 11.185228000000187,
          "hour": 2407,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 49.37343999999928,
          "hour": 2408,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932000000117,
          "hour": 2408,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 773.85,
          "hour": 2408,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 132.66,
          "hour": 2408,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2408,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2408,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1707.1916280000005,
          "hour": 2408,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2408,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 167.35616000000027,
          "hour": 2409,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2409,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1671.6000000000001,
          "hour": 2409,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 286.56,
          "hour": 2409,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2409,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2409,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 932.4589079999996,
          "hour": 2409,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2409,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 131.56096,
          "hour": 2410,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2410,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2014.9499999999998,
          "hour": 2410,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 345.42,
          "hour": 2410,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2410,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2410,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 809.904108,
          "hour": 2410,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2410,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 111.1936,
          "hour": 2411,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2411,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2113.6499999999996,
          "hour": 2411,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 362.34,
          "hour": 2411,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2411,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2411,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 833.571468,
          "hour": 2411,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2411,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 92.11008,
          "hour": 2412,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2412,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2148.65,
          "hour": 2412,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 368.34,
          "hour": 2412,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2412,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2412,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 655.6549879999999,
          "hour": 2412,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2412,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 52.093439999999646,
          "hour": 2413,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2413,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2256.1,
          "hour": 2413,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 386.76,
          "hour": 2413,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2413,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2413,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 368.2216280000001,
          "hour": 2413,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2413,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 64.69248000000016,
          "hour": 2414,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2414,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2259.2499999999995,
          "hour": 2414,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 387.29999999999995,
          "hour": 2414,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2414,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2414,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 275.472588,
          "hour": 2414,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2414,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 49.22112,
          "hour": 2415,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2415,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2184.3499999999995,
          "hour": 2415,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 374.46,
          "hour": 2415,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2415,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2415,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 277.84394800000007,
          "hour": 2415,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2415,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 65.41055999999935,
          "hour": 2416,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2416,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1993.25,
          "hour": 2416,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 341.7,
          "hour": 2416,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2416,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2416,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 356.7545080000003,
          "hour": 2416,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2416,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 57.185280000000375,
          "hour": 2417,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2417,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1637.2999999999997,
          "hour": 2417,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 280.68,
          "hour": 2417,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2417,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2417,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 660.9297879999998,
          "hour": 2417,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2417,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 78.61887999999999,
          "hour": 2418,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2418,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1132.5999999999997,
          "hour": 2418,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 194.16,
          "hour": 2418,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2418,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2418,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1096.1961880000003,
          "hour": 2418,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2418,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 52.61568000000014,
          "hour": 2419,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2419,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 166.95000000000005,
          "hour": 2419,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 28.62,
          "hour": 2419,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2419,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2419,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2419,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 163.34938799999972,
          "hour": 2419,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 61.42847999999982,
          "hour": 2420,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2420,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2420,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2420,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2420,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2420,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2420,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 444.48658800000004,
          "hour": 2420,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 71.91679999999975,
          "hour": 2421,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2421,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2421,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2421,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2421,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2421,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2421,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 438.9982680000001,
          "hour": 2421,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 96.04863999999998,
          "hour": 2422,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2422,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2422,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2422,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2422,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2422,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2422,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 166.86642799999993,
          "hour": 2422,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 126.46912,
          "hour": 2423,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2423,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2423,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2423,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2423,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2423,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1794.9459479999998,
          "hour": 2423,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2423,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 144.4211200000001,
          "hour": 2424,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2424,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2424,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2424,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2424,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2424,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1548.9939479999998,
          "hour": 2424,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2424,
          "resource": "natural_gas_fired_combustion_turbine"
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "resource",
         "scale": {
          "scheme": "category20"
         },
         "type": "nominal"
        },
        "x": {
         "field": "hour",
         "type": "quantitative"
        },
        "y": {
         "field": "gen_sum",
         "type": "quantitative"
        }
       },
       "mark": "line"
      },
      "image/png": "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",
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" class=\"marks\" width=\"454\" height=\"242\" viewBox=\"0 0 454 242\"><rect width=\"454\" height=\"242\" fill=\"white\"/><g fill=\"none\" stroke-miterlimit=\"10\" transform=\"translate(54,5)\"><g class=\"mark-group role-frame root\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0.5,0.5h200v200h-200Z\" stroke=\"#ddd\"/><g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,200.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(42,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(83,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(125,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(167,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,158)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,117)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,75)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,33)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"X-axis titled 'hour' for a linear scale with values from 2,400 to 2,424\"><g transform=\"translate(0.5,200.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(42,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(83,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(125,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(167,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,400</text><text text-anchor=\"middle\" transform=\"translate(41.66666666666667,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,405</text><text text-anchor=\"middle\" transform=\"translate(83.33333333333334,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,410</text><text text-anchor=\"middle\" transform=\"translate(125,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,415</text><text text-anchor=\"middle\" transform=\"translate(166.66666666666669,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,420</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"200\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(100,30)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">hour</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"Y-axis titled 'gen_sum' for a linear scale with values from 0 to 2,400\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,158)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,117)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,75)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,33)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"end\" transform=\"translate(-7,203)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">0</text><text text-anchor=\"end\" transform=\"translate(-7,161.33333333333331)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">500</text><text text-anchor=\"end\" transform=\"translate(-7,119.66666666666666)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,000</text><text text-anchor=\"end\" transform=\"translate(-7,78)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,500</text><text text-anchor=\"end\" transform=\"translate(-7,36.33333333333333)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,000</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"0\" y2=\"-200\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(-38,100) rotate(-90) translate(0,-2)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">gen_sum</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-scope pathgroup\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 163.3088; resource: _onshore_wind_turbine\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,186.39093333333335L16.666666666666664,185.85056L25,190.40746666666666L33.33333333333333,191.62058666666667L41.66666666666667,193.28522666666666L50,188.40192L58.333333333333336,193.81834666666668L66.66666666666666,195.88554666666673L75,186.0536533333333L83.33333333333334,189.03658666666666L91.66666666666666,190.73386666666667L100,192.32416L108.33333333333333,195.65888L116.66666666666667,194.60896L125,195.89824L133.33333333333331,194.54912000000007L141.66666666666669,195.23455999999996L150,193.44842666666665L158.33333333333331,195.61535999999998L166.66666666666669,194.88096000000002L175,194.00693333333336L183.33333333333331,191.99594666666667L191.66666666666669,189.46090666666666L200,187.96490666666665\" stroke=\"#1f77b4\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 3.184932; resource: _small_hydroelectric\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,199.734589L16.666666666666664,199.734589L25,199.734589L33.33333333333333,199.734589L41.66666666666667,199.734589L50,199.734589L58.333333333333336,199.734589L66.66666666666666,199.73458899999997L75,199.734589L83.33333333333334,199.734589L91.66666666666666,199.734589L100,199.734589L108.33333333333333,199.734589L116.66666666666667,199.734589L125,199.734589L133.33333333333331,199.734589L141.66666666666669,199.734589L150,199.734589L158.33333333333331,199.734589L166.66666666666669,199.734589L175,199.734589L183.33333333333331,199.734589L191.66666666666669,199.734589L200,199.734589\" stroke=\"#aec7e8\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 0; resource: _solar_photovoltaic\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,200L16.666666666666664,200L25,200L33.33333333333333,200L41.66666666666667,200L50,200L58.333333333333336,183.87083333333334L66.66666666666666,135.51250000000002L75,60.699999999999996L83.33333333333334,32.08750000000003L91.66666666666666,23.862500000000033L100,20.94583333333333L108.33333333333333,11.991666666666667L116.66666666666667,11.729166666666702L125,17.97083333333338L133.33333333333331,33.89583333333333L141.66666666666669,63.55833333333336L150,105.61666666666669L158.33333333333331,186.0875L166.66666666666669,200L175,200L183.33333333333331,200L191.66666666666669,200L200,200\" stroke=\"#ff7f0e\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 0; resource: _solar_photovoltaic_btm\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,200L16.666666666666664,200L25,200L33.33333333333333,200L41.66666666666667,200L50,200L58.333333333333336,197.235L66.66666666666666,188.945L75,176.12L83.33333333333334,171.215L91.66666666666666,169.805L100,169.305L108.33333333333333,167.77L116.66666666666667,167.725L125,168.79500000000002L133.33333333333331,171.525L141.66666666666669,176.61L150,183.82L158.33333333333331,197.615L166.66666666666669,200L175,200L183.33333333333331,200L191.66666666666669,200L200,200\" stroke=\"#ffbb78\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 21.4; resource: biomass\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,198.21666666666667L16.666666666666664,198.21666666666667L25,198.21666666666667L33.33333333333333,198.21666666666667L41.66666666666667,198.21666666666667L50,198.21666666666667L58.333333333333336,198.21666666666667L66.66666666666666,198.21666666666667L75,198.21666666666667L83.33333333333334,198.21666666666667L91.66666666666666,198.21666666666667L100,198.21666666666667L108.33333333333333,198.21666666666667L116.66666666666667,198.21666666666667L125,198.21666666666667L133.33333333333331,198.21666666666667L141.66666666666669,198.21666666666667L150,198.21666666666667L158.33333333333331,198.21666666666667L166.66666666666669,198.21666666666667L175,198.21666666666667L183.33333333333331,198.21666666666667L191.66666666666669,198.21666666666667L200,198.21666666666667\" stroke=\"#2ca02c\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 42; resource: hydroelectric_pumped_storage\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,196.5L16.666666666666664,196.5L25,196.5L33.33333333333333,196.5L41.66666666666667,196.5L50,196.5L58.333333333333336,196.5L66.66666666666666,196.5L75,196.5L83.33333333333334,196.5L91.66666666666666,196.5L100,196.5L108.33333333333333,196.5L116.66666666666667,196.5L125,196.5L133.33333333333331,196.5L141.66666666666669,196.5L150,196.5L158.33333333333331,196.5L166.66666666666669,196.5L175,196.5L183.33333333333331,196.5L191.66666666666669,196.5L200,196.5\" stroke=\"#98df8a\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 1385.106268; resource: natural_gas_fired_combined_cycle\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,84.57447766666665L16.666666666666664,90.28151766666667L25,88.64127766666667L33.33333333333333,83.761491L41.66666666666667,67.84685100000002L50,52.48015766666667L58.333333333333336,39.29166666666666L66.66666666666666,57.734030999999966L75,122.29509100000003L83.33333333333334,132.507991L91.66666666666666,130.53571100000002L100,145.36208433333334L108.33333333333333,169.3148643333333L116.66666666666667,177.04395100000002L125,176.84633766666667L133.33333333333331,170.27045766666663L141.66666666666669,144.9225176666667L150,108.65031766666664L158.33333333333331,39.29166666666666L166.66666666666669,39.29166666666666L175,39.29166666666666L183.33333333333331,39.29166666666666L191.66666666666669,50.42117100000001L200,70.91717100000001\" stroke=\"#d62728\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; gen_sum: 0; resource: natural_gas_fired_combustion_turbine\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,200L16.666666666666664,200L25,200L33.33333333333333,200L41.66666666666667,200L50,200L58.333333333333336,199.06789766666665L66.66666666666666,200L75,200L83.33333333333334,200L91.66666666666666,200L100,200L108.33333333333333,200L116.66666666666667,200L125,200L133.33333333333331,200L141.66666666666669,200L150,200L158.33333333333331,186.38755100000003L166.66666666666669,162.959451L175,163.416811L183.33333333333331,186.09446433333335L191.66666666666669,200L200,200\" stroke=\"#ff9896\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g><g class=\"mark-group role-legend\" role=\"graphics-symbol\" aria-roledescription=\"legend\" aria-label=\"Symbol legend titled 'resource' for stroke color with 8 values: _onshore_wind_turbine, _small_hydroelectric, _solar_photovoltaic, _solar_photovoltaic_btm, biomass, ending with natural_gas_fired_combustion_turbine\"><g transform=\"translate(220,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v118h-175Z\" pointer-events=\"none\"/><g><g class=\"mark-group role-legend-entry\"><g transform=\"translate(0,16)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-group role-scope\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#1f77b4\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_onshore_wind_turbine</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,13)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#aec7e8\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_small_hydroelectric</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,26)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#ff7f0e\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_solar_photovoltaic</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,39)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#ffbb78\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_solar_photovoltaic_btm</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,52)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#2ca02c\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">biomass</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,65)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#98df8a\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">hydroelectric_pumped_storage</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,78)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#d62728\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">natural_gas_fired_combined_cy…</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,91)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#ff9896\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">natural_gas_fired_combustion_t…</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-text role-legend-title\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,9)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">resource</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g></g></svg>\n"
      ],
      "text/plain": [
       "@vlplot(\n",
       "    mark=\"line\",\n",
       "    encoding={\n",
       "        x={\n",
       "            field=\"hour\"\n",
       "        },\n",
       "        y={\n",
       "            field=\"gen_sum\"\n",
       "        },\n",
       "        color={\n",
       "            scale={\n",
       "                scheme=\"category20\"\n",
       "            },\n",
       "            field=\"resource\",\n",
       "            type=\"nominal\"\n",
       "        }\n",
       "    },\n",
       "    data={\n",
       "        values=...\n",
       "    }\n",
       ")"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sol_gen_btm |>\n",
    "@vlplot(:line, \n",
    "    x=:hour, y=:gen_sum, \n",
    "    color={\"resource:n\", scale={scheme=\"category20\"}})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = sol_gen_btm |>\n",
    "@vlplot(:area, \n",
    "    x=:hour, y={:gen_sum, stack=:zero}, \n",
    "    color={\"resource:n\", scale={scheme=\"category20\"}},\n",
    "    width=600,height=600)\n",
    "g |> FileIO.save(\"results/ED_multitime.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For reference, here is the load shape (after subtracting BTM solar) we are trying solve:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "data": {
        "values": [
         {
          "demand": 1615,
          "hour": 2401
         },
         {
          "demand": 1553,
          "hour": 2402
         },
         {
          "demand": 1518,
          "hour": 2403
         },
         {
          "demand": 1562,
          "hour": 2404
         },
         {
          "demand": 1733,
          "hour": 2405
         },
         {
          "demand": 1976,
          "hour": 2406
         },
         {
          "demand": 2274,
          "hour": 2407
         },
         {
          "demand": 2597,
          "hour": 2408
         },
         {
          "demand": 2838,
          "hour": 2409
         },
         {
          "demand": 3023,
          "hour": 2410
         },
         {
          "demand": 3125,
          "hour": 2411
         },
         {
          "demand": 2963,
          "hour": 2412
         },
         {
          "demand": 2743,
          "hour": 2413
         },
         {
          "demand": 2666,
          "hour": 2414
         },
         {
          "demand": 2578,
          "hour": 2415
         },
         {
          "demand": 2482,
          "hour": 2416
         },
         {
          "demand": 2422,
          "hour": 2417
         },
         {
          "demand": 2374,
          "hour": 2418
         },
         {
          "demand": 2378,
          "hour": 2419
         },
         {
          "demand": 2501,
          "hour": 2420
         },
         {
          "demand": 2506,
          "hour": 2421
         },
         {
          "demand": 2258,
          "hour": 2422
         },
         {
          "demand": 1988,
          "hour": 2423
         },
         {
          "demand": 1760,
          "hour": 2424
         }
        ]
       },
       "encoding": {
        "x": {
         "field": "hour",
         "type": "quantitative"
        },
        "y": {
         "field": "demand",
         "type": "quantitative"
        }
       },
       "mark": "line"
      },
      "image/png": "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",
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" class=\"marks\" width=\"261\" height=\"247\" viewBox=\"0 0 261 247\"><rect width=\"261\" height=\"247\" fill=\"white\"/><g fill=\"none\" stroke-miterlimit=\"10\" transform=\"translate(54,10)\"><g class=\"mark-group role-frame root\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0.5,0.5h200v200h-200Z\" stroke=\"#ddd\"/><g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,200.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(42,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(83,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(125,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(167,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,171)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,143)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,114)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,86)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,57)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,29)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,0)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"X-axis titled 'hour' for a linear scale with values from 2,400 to 2,424\"><g transform=\"translate(0.5,200.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(42,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(83,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(125,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(167,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,400</text><text text-anchor=\"middle\" transform=\"translate(41.66666666666667,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,405</text><text text-anchor=\"middle\" transform=\"translate(83.33333333333334,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,410</text><text text-anchor=\"middle\" transform=\"translate(125,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,415</text><text text-anchor=\"middle\" transform=\"translate(166.66666666666669,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,420</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"200\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(100,30)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">hour</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"Y-axis titled 'demand' for a linear scale with values from 0 to 3,500\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,171)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,143)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,114)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,86)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,57)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,29)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,0)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"end\" transform=\"translate(-7,203)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">0</text><text text-anchor=\"end\" transform=\"translate(-7,174.42857142857144)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">500</text><text text-anchor=\"end\" transform=\"translate(-7,145.85714285714286)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,000</text><text text-anchor=\"end\" transform=\"translate(-7,117.28571428571428)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,500</text><text text-anchor=\"end\" transform=\"translate(-7,88.71428571428572)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,000</text><text text-anchor=\"end\" transform=\"translate(-7,60.14285714285714)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,500</text><text text-anchor=\"end\" transform=\"translate(-7,31.57142857142858)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3,000</text><text text-anchor=\"end\" transform=\"translate(-7,3)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3,500</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"0\" y2=\"-200\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(-38,100) rotate(-90) translate(0,-2)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">demand</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; demand: 1615\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,107.71428571428572L16.666666666666664,111.25714285714285L25,113.25714285714285L33.33333333333333,110.74285714285715L41.66666666666667,100.97142857142858L50,87.08571428571427L58.333333333333336,70.05714285714286L66.66666666666666,51.6L75,37.828571428571436L83.33333333333334,27.257142857142846L91.66666666666666,21.42857142857142L100,30.685714285714294L108.33333333333333,43.25714285714286L116.66666666666667,47.657142857142865L125,52.68571428571429L133.33333333333331,58.171428571428564L141.66666666666669,61.60000000000001L150,64.34285714285714L158.33333333333331,64.11428571428573L166.66666666666669,57.085714285714296L175,56.800000000000004L183.33333333333331,70.97142857142858L191.66666666666669,86.4L200,99.42857142857142\" stroke=\"#4c78a8\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g></g></svg>\n"
      ],
      "text/plain": [
       "@vlplot(\n",
       "    mark=\"line\",\n",
       "    encoding={\n",
       "        x={\n",
       "            field=\"hour\"\n",
       "        },\n",
       "        y={\n",
       "            field=\"demand\"\n",
       "        }\n",
       "    },\n",
       "    data={\n",
       "        values=...\n",
       "    }\n",
       ")"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loads_multi |>\n",
    "@vlplot(:line, \n",
    "    x=:hour, y=:demand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiple-time period, complex generator constraints with time coupling\n",
    "\n",
    "The above problem did not include more than one time index per constraint. Hence, we could actually solve this each time period separately without regard to what is happening before or after. (These are known as \"separable\" problems.)\n",
    "\n",
    "We now introduce time coupling into the model, by considering ramp rates, which limit how much generators can change output from one period to the next (an engineering constraint).\n",
    "\n",
    "The new model:\n",
    "\n",
    "$$\n",
    "\\begin{align}\n",
    "\\min \\ & \\sum_{g \\in G, t \\in T} VarCost_g \\times GEN_{g,t} & \\\\\n",
    "\\text{s.t.} & \\\\\n",
    " & \\sum_{g} GEN_{g,t} = Demand_t & \\forall \\quad t \\in T \\\\\n",
    " & GEN_{g,t} \\leq Pmax_{g,t} & \\forall \\quad g \\in G , t \\in T \\\\\n",
    " & GEN_{g,t} \\geq Pmin_{g,t} & \\forall \\quad g \\in G , t \\in T \\\\\n",
    " & GEN_{g,t+1} - GEN_{g,t} \\leq RampUp_{g} & \\forall \\quad g \\in G , t = 1..T-1 \\\\\n",
    "  & GEN_{g,t} - GEN_{g,t+1} \\leq RampDn_{g} & \\forall \\quad g \\in G , t = 1..T-1\n",
    "\\end{align}\n",
    "$$\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Create solver function\n",
    "\n",
    "(We reuse steps 1 and 2 above to load packages and data.)\n",
    "\n",
    "First, we define a function to convert two-dimensional outputs from JuMP into easy-to-read dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "value_to_df_2dim (generic function with 1 method)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#=\n",
    "Function to convert JuMP outputs (technically, AxisArrays) with two-indexes to a dataframe\n",
    "Inputs:\n",
    "    var -- JuMP AxisArray (e.g., value.(GEN))\n",
    "Reference: https://jump.dev/JuMP.jl/v0.19/containers/\n",
    "=#\n",
    "function value_to_df_2dim(var)\n",
    "    solution = DataFrame(var.data, :auto)\n",
    "    ax1 = var.axes[1]\n",
    "    ax2 = var.axes[2]\n",
    "    cols = names(solution)\n",
    "    insertcols!(solution, 1, :r_id => ax1)\n",
    "    solution = stack(solution, Not(:r_id), variable_name=:hour)\n",
    "    solution.hour = foldl(replace, [cols[i] => ax2[i] for i in 1:length(ax2)], init=solution.hour)\n",
    "    rename!(solution, :value => :gen)\n",
    "    solution.hour = convert.(Int64,solution.hour)\n",
    "    return solution\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "economic_dispatch_multi_time (generic function with 1 method)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#=\n",
    "Function to solve economic dispatch problem (multi-time period, single-zone)\n",
    "Inputs:\n",
    "    gen_df -- dataframe with generator info\n",
    "    loads  -- load by time\n",
    "    gen_variable -- capacity factors of variable generators (in \"long\" format)\n",
    "=#\n",
    "function economic_dispatch_multi_time(gen_df, loads, gen_variable)\n",
    "    ED = Model(GLPK.Optimizer)\n",
    "\n",
    "    # Define sets based on data\n",
    "    G_var = gen_df[gen_df[!,:is_variable] .== 1,:r_id] \n",
    "    G_nonvar = gen_df[gen_df[!,:is_variable] .== 0,:r_id]\n",
    "    G = gen_df.r_id\n",
    "    T = loads.hour\n",
    "    T_red = loads.hour[1:end-1]  # time periods used for ramp constraints\n",
    "    \n",
    "    # Generator capacity factor time series for variable generators\n",
    "    gen_var_cf = innerjoin(gen_variable, \n",
    "                    gen_df[gen_df.is_variable .== 1 , \n",
    "                        [:r_id, :gen_full, :existing_cap_mw]], \n",
    "                    on = :gen_full)\n",
    "        \n",
    "    # Decision variables   \n",
    "    @variables(ED, begin\n",
    "        GEN[G, T]  >= 0     # generation\n",
    "        # Note: we assume Pmin = 0 for all resources for simplicty here\n",
    "    end)\n",
    "                \n",
    "    # Objective function\n",
    "    @objective(ED, Min, \n",
    "        sum( (gen_df[gen_df.r_id .== i,:heat_rate_mmbtu_per_mwh][1] * gen_df[gen_df.r_id .== i,:fuel_cost][1] +\n",
    "            gen_df[gen_df.r_id .== i,:var_om_cost_per_mwh][1]) * GEN[i,t] \n",
    "                        for i in G_nonvar for t in T) + \n",
    "        sum(gen_df[gen_df.r_id .== i,:var_om_cost_per_mwh][1] * GEN[i,t] \n",
    "                        for i in G_var for t in T)\n",
    "    )\n",
    "    \n",
    "    # Demand constraint\n",
    "    @constraint(ED, cDemand[t in T], \n",
    "        sum(GEN[i,t] for i in G) == loads[loads.hour .== t,:demand][1])\n",
    "\n",
    "    # Capacity constraints (non-variable generation)\n",
    "    @constraint(ED, Cap_nonvar[i in G_nonvar, t in T], \n",
    "        GEN[i,t] <= gen_df[gen_df.r_id .== i,:existing_cap_mw][1])\n",
    "\n",
    "    # Variable generation capacity constraints\n",
    "    @constraint(ED, Cap_var[i in 1:nrow(gen_var_cf)], \n",
    "            GEN[gen_var_cf[i,:r_id], gen_var_cf[i,:hour] ] <= \n",
    "                        gen_var_cf[i,:cf] *\n",
    "                        gen_var_cf[i,:existing_cap_mw])\n",
    "    \n",
    "    # Ramp up constraints\n",
    "    @constraint(ED, RampUp[i in G, t in T_red], \n",
    "        GEN[i,t+1] - GEN[i,t] <= gen_df[gen_df.r_id .== i,:existing_cap_mw][1] * \n",
    "                                 gen_df[gen_df.r_id .== i,:ramp_up_percentage][1] )\n",
    "\n",
    "    # Ramp down constraints\n",
    "    @constraint(ED, RampDn[i in G, t in T_red], \n",
    "        GEN[i,t] - GEN[i,t+1] <= gen_df[gen_df.r_id .== i,:existing_cap_mw][1] * \n",
    "                                 gen_df[gen_df.r_id .== i,:ramp_dn_percentage][1] )\n",
    "\n",
    "    \n",
    "    # Solve statement (! indicates runs in place)\n",
    "    optimize!(ED)\n",
    "\n",
    "    # Dataframe of optimal decision variables\n",
    "    solution = value_to_df_2dim(value.(GEN))\n",
    "    \n",
    "    # Dataframe of ramp up constraint marginal values \n",
    "    # (aka \"dual values\" of the ramp constraint)\n",
    "    # (to be used in solar sensitivity case)\n",
    "    marginals = value_to_df_2dim(dual.(RampUp))\n",
    "    \n",
    "    # Return the solution, objective, and marginals as named tuple\n",
    "    return (\n",
    "        solution = solution, \n",
    "        cost = objective_value(ED),\n",
    "        marginals = marginals\n",
    "    )\n",
    "\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Solve a day's economic dispatch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "solution = economic_dispatch_multi_time(gen_df, loads_multi, gen_variable_multi);\n",
    "\n",
    "sol_gen = innerjoin(solution.solution, \n",
    "                    gen_df[!, [:r_id, :resource]], \n",
    "                    on = :r_id)\n",
    "sol_gen = combine(groupby(sol_gen, [:resource, :hour]), \n",
    "            :gen => sum)\n",
    "sol_gen_btm = sol_gen\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"solar_photovoltaic\", :resource] .= \"_solar_photovoltaic\"\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"onshore_wind_turbine\", :resource] .= \"_onshore_wind_turbine\"\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"small_hydroelectric\", :resource] .= \"_small_hydroelectric\"\n",
    "\n",
    "btm = DataFrame(resource = repeat([\"_solar_photovoltaic_btm\"]; outer=length(T_period)), \n",
    "    hour = T_period,\n",
    "    gen_sum = gen_variable_multi[gen_variable_multi.gen_full .== \"wec_sdge_solar_photovoltaic_1.0\",:cf] * 600)\n",
    "append!(sol_gen_btm, btm)\n",
    "\n",
    "# Reorder resources\n",
    "sort!(sol_gen_btm, [:hour, :resource])\n",
    "\n",
    "sol_gen_btm |>\n",
    "@vlplot(:area, \n",
    "    x=:hour, y={:gen_sum, stack=:zero}, \n",
    "    color={\"resource:n\", scale={scheme=\"category20\"}},\n",
    "    width=600,height=600) |> \n",
    "    FileIO.save(\"results/ED_moderate.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Run sensitivity on solar capacity\n",
    "\n",
    "Let's now examine what happens if we increase utility solar capacity from the current 500MW up to 3,500MW."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "data": {
        "values": [
         {
          "gen_sum": 163.3088,
          "hour": 2401,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2401,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2401,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2401,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2401,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2401,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1385.106268,
          "hour": 2401,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2401,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 169.79327999999998,
          "hour": 2402,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2402,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2402,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2402,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2402,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2402,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1316.621788,
          "hour": 2402,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2402,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 115.1104,
          "hour": 2403,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2403,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2403,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2403,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2403,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2403,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1336.304668,
          "hour": 2403,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2403,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 100.55296,
          "hour": 2404,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2404,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2404,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2404,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2404,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2404,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1394.8621079999998,
          "hour": 2404,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2404,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 80.57727999999997,
          "hour": 2405,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2405,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2405,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2405,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2405,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2405,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1585.8377880000003,
          "hour": 2405,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2405,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 139.17695999999998,
          "hour": 2406,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2406,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2406,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2406,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2406,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2406,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1770.238108,
          "hour": 2406,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2406,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 74.17984,
          "hour": 2407,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2407,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 193.55000000000052,
          "hour": 2407,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 33.18,
          "hour": 2407,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2407,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2407,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2407,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 11.185227999999483,
          "hour": 2407,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 49.373439999999995,
          "hour": 2408,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2408,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 773.8499999999999,
          "hour": 2408,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 132.66,
          "hour": 2408,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2408,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2408,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1707.1916279999998,
          "hour": 2408,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2408,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 167.35616,
          "hour": 2409,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2409,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1671.6,
          "hour": 2409,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 286.56,
          "hour": 2409,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2409,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2409,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 932.458908,
          "hour": 2409,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2409,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 131.56096,
          "hour": 2410,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2410,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2014.95,
          "hour": 2410,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 345.42,
          "hour": 2410,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2410,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2410,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 809.904108,
          "hour": 2410,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2410,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 111.1936,
          "hour": 2411,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2411,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2113.6499999999996,
          "hour": 2411,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 362.34,
          "hour": 2411,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2411,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2411,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 833.5714679999999,
          "hour": 2411,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2411,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 92.11008,
          "hour": 2412,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2412,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2148.65,
          "hour": 2412,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 368.34,
          "hour": 2412,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2412,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2412,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 655.6549879999999,
          "hour": 2412,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2412,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 52.09344,
          "hour": 2413,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2413,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2256.0999999999995,
          "hour": 2413,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 386.76,
          "hour": 2413,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2413,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2413,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 368.2216280000001,
          "hour": 2413,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2413,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 64.69248,
          "hour": 2414,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2414,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2259.2499999999995,
          "hour": 2414,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 387.29999999999995,
          "hour": 2414,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2414,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2414,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 275.472588,
          "hour": 2414,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2414,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 49.22112,
          "hour": 2415,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2415,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 2184.3499999999995,
          "hour": 2415,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 374.46,
          "hour": 2415,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2415,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2415,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 277.84394800000007,
          "hour": 2415,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2415,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 65.41055999999999,
          "hour": 2416,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2416,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1993.2499999999993,
          "hour": 2416,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 341.7,
          "hour": 2416,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2416,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2416,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 356.7545080000001,
          "hour": 2416,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2416,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 57.18527999999999,
          "hour": 2417,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2417,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1637.3,
          "hour": 2417,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 280.68,
          "hour": 2417,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2417,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2417,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 660.929788,
          "hour": 2417,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2417,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 78.61888,
          "hour": 2418,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2418,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 1132.5999999999997,
          "hour": 2418,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 194.16,
          "hour": 2418,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2418,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2418,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1096.1961880000001,
          "hour": 2418,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2418,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 52.61568,
          "hour": 2419,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2419,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 166.95,
          "hour": 2419,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 28.62,
          "hour": 2419,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2419,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2419,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1912.62,
          "hour": 2419,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 179.22938799999997,
          "hour": 2419,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 61.42848,
          "hour": 2420,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2420,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2420,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2420,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2420,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2420,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2420,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 444.48658799999987,
          "hour": 2420,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 71.9168,
          "hour": 2421,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2421,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2421,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2421,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2421,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2421,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2421,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 438.99826799999994,
          "hour": 2421,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 96.04863999999952,
          "hour": 2422,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2422,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2422,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2422,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2422,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2422,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1928.5,
          "hour": 2422,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 166.86642800000004,
          "hour": 2422,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 126.46912,
          "hour": 2423,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2423,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2423,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2423,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2423,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2423,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1794.945948,
          "hour": 2423,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2423,
          "resource": "natural_gas_fired_combustion_turbine"
         },
         {
          "gen_sum": 144.42112000000006,
          "hour": 2424,
          "resource": "_onshore_wind_turbine"
         },
         {
          "gen_sum": 3.184932,
          "hour": 2424,
          "resource": "_small_hydroelectric"
         },
         {
          "gen_sum": 0,
          "hour": 2424,
          "resource": "_solar_photovoltaic"
         },
         {
          "gen_sum": 0,
          "hour": 2424,
          "resource": "_solar_photovoltaic_btm"
         },
         {
          "gen_sum": 21.4,
          "hour": 2424,
          "resource": "biomass"
         },
         {
          "gen_sum": 42,
          "hour": 2424,
          "resource": "hydroelectric_pumped_storage"
         },
         {
          "gen_sum": 1548.9939479999998,
          "hour": 2424,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen_sum": 0,
          "hour": 2424,
          "resource": "natural_gas_fired_combustion_turbine"
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "resource",
         "scale": {
          "scheme": "category20"
         },
         "type": "nominal"
        },
        "x": {
         "field": "hour",
         "type": "quantitative"
        },
        "y": {
         "field": "gen_sum",
         "stack": "zero",
         "type": "quantitative"
        }
       },
       "height": 600,
       "mark": "area",
       "width": 600
      },
      "image/png": "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",
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" class=\"marks\" width=\"852\" height=\"642\" viewBox=\"0 0 852 642\"><rect width=\"852\" height=\"642\" fill=\"white\"/><g fill=\"none\" stroke-miterlimit=\"10\" transform=\"translate(54,5)\"><g class=\"mark-group role-frame root\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0.5,0.5h600v600h-600Z\" stroke=\"#ddd\"/><g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,600.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(50,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(100,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(150,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(200,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(250,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(300,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(350,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(400,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(450,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(500,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(550,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(600,-600)\" x2=\"0\" y2=\"600\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,600)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,566)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,531)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,497)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,463)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,429)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,394)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,360)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,326)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,291)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,257)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,223)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,189)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,154)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,120)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,86)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,51)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,17)\" x2=\"600\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"X-axis titled 'hour' for a linear scale with values from 2,400 to 2,424\"><g transform=\"translate(0.5,600.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(50,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(100,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(150,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(200,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(250,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(300,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(350,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(400,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(450,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(500,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(550,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(600,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,400</text><text text-anchor=\"middle\" transform=\"translate(50,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,402</text><text text-anchor=\"middle\" transform=\"translate(100,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,404</text><text text-anchor=\"middle\" transform=\"translate(150,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,406</text><text text-anchor=\"middle\" transform=\"translate(200,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,408</text><text text-anchor=\"middle\" transform=\"translate(250,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,410</text><text text-anchor=\"middle\" transform=\"translate(300,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,412</text><text text-anchor=\"middle\" transform=\"translate(350,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,414</text><text text-anchor=\"middle\" transform=\"translate(400,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,416</text><text text-anchor=\"middle\" transform=\"translate(450,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,418</text><text text-anchor=\"middle\" transform=\"translate(500,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,420</text><text text-anchor=\"middle\" transform=\"translate(550,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,422</text><text text-anchor=\"end\" transform=\"translate(600,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,424</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"600\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(300,30)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">hour</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"Y-axis titled 'gen_sum' for a linear scale with values from 0 to 3,500\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,600)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,566)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,531)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,497)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,463)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,429)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,394)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,360)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,326)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,291)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,257)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,223)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,189)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,154)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,120)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,86)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,51)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,17)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"end\" transform=\"translate(-7,603)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">0</text><text text-anchor=\"end\" transform=\"translate(-7,568.7142857142857)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">200</text><text text-anchor=\"end\" transform=\"translate(-7,534.4285714285714)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">400</text><text text-anchor=\"end\" transform=\"translate(-7,500.1428571428571)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">600</text><text text-anchor=\"end\" transform=\"translate(-7,465.8571428571429)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">800</text><text text-anchor=\"end\" transform=\"translate(-7,431.57142857142856)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,000</text><text text-anchor=\"end\" transform=\"translate(-7,397.2857142857143)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,200</text><text text-anchor=\"end\" transform=\"translate(-7,363)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,400</text><text text-anchor=\"end\" transform=\"translate(-7,328.7142857142858)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,600</text><text text-anchor=\"end\" transform=\"translate(-7,294.42857142857144)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">1,800</text><text text-anchor=\"end\" transform=\"translate(-7,260.14285714285717)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,000</text><text text-anchor=\"end\" transform=\"translate(-7,225.85714285714286)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,200</text><text text-anchor=\"end\" transform=\"translate(-7,191.57142857142856)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,400</text><text text-anchor=\"end\" transform=\"translate(-7,157.28571428571428)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,600</text><text text-anchor=\"end\" transform=\"translate(-7,122.99999999999997)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,800</text><text text-anchor=\"end\" transform=\"translate(-7,88.71428571428574)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3,000</text><text text-anchor=\"end\" transform=\"translate(-7,54.428571428571445)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3,200</text><text text-anchor=\"end\" transform=\"translate(-7,20.14285714285715)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3,400</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,600)\" x2=\"0\" y2=\"-600\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(-38,300) rotate(-90) translate(0,-2)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">gen_sum</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-scope pathgroup\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 163.3088; resource: _onshore_wind_turbine\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,323.14285714285717L50,333.77142857142854L75,339.77142857142854L100,332.2285714285715L125,302.91428571428565L150,261.2571428571428L175,204.48342857142862L200,132.05828571428572L225,64.3611428571429L250,22.556571428571417L275,2.170285714285791L300,28.91314285714288L325,63.4697142857143L350,76.57714285714292L375,93.86400000000002L400,115.93714285714299L425,136.6834285714285L450,159.74400000000003L475,187.4365714285715L500,171.2571428571429L525,170.4L550,212.9142857142857L575,259.20000000000005L600,298.28571428571433L600,323.0436205714286L575,280.8804205714286L550,229.37976685714276L525,182.72859428571428L500,181.78773942857146L475,196.4564022857144L450,173.22152228571431L425,146.4866194285714L400,127.15038171428577L375,102.30190628571434L350,87.66728228571439L325,72.40001828571437L300,44.703442285714345L275,21.23204571428576L250,45.10987885714282L225,93.0507702857143L200,140.52230400000002L175,217.1999725714286L150,285.11605028571427L125,316.72753371428564L100,349.4662217142858L75,359.50464L50,362.878848L25,351.13865142857145Z\" fill=\"#1f77b4\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 3.184932; resource: _small_hydroelectric\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,351.13865142857145L50,362.878848L75,359.50464L100,349.4662217142858L125,316.72753371428564L150,285.11605028571427L175,217.1999725714286L200,140.52230400000002L225,93.0507702857143L250,45.10987885714282L275,21.232045714285764L300,44.703442285714345L325,72.40001828571437L350,87.66728228571439L375,102.30190628571434L400,127.15038171428577L425,146.4866194285714L450,173.22152228571431L475,196.4564022857144L500,181.78773942857146L525,182.72859428571428L550,229.37976685714276L575,280.8804205714286L600,323.0436205714286L600,323.58960891428575L575,281.42640891428573L550,229.92575519999997L525,183.2745826285714L500,182.33372777142858L475,197.00239062857153L450,173.76751062857144L425,147.0326077714286L400,127.69637005714296L375,102.84789462857147L350,88.21327062857152L325,72.9460066285715L300,45.249430628571474L275,21.77803405714296L250,45.655867199999946L225,93.59675862857142L200,141.06829234285715L175,217.74596091428572L150,285.6620386285714L125,317.27352205714277L100,350.0122100571429L75,360.0506283428571L50,363.42483634285713L25,351.6846397714286Z\" fill=\"#aec7e8\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 0; resource: _solar_photovoltaic\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,351.6846397714286L50,363.42483634285713L75,360.0506283428571L100,350.0122100571429L125,317.27352205714277L150,285.6620386285714L175,217.74596091428572L200,141.06829234285715L225,93.59675862857142L250,45.655867199999946L275,21.77803405714296L300,45.249430628571474L325,72.9460066285715L350,88.21327062857152L375,102.84789462857147L400,127.69637005714296L425,147.0326077714286L450,173.76751062857144L475,197.00239062857153L500,182.33372777142858L525,183.2745826285714L550,229.92575519999997L575,281.42640891428573L600,323.58960891428575L600,323.58960891428575L575,281.42640891428573L550,229.92575519999997L525,183.2745826285714L500,182.33372777142858L475,225.6223906285715L450,367.9275106285714L425,427.71260777142857L400,469.3963700571428L375,477.3078946285714L350,475.51327062857143L325,459.70600662857134L300,413.58943062857145L275,384.1180340571429L250,391.0758672L225,380.1567586285714L200,273.7282923428571L175,250.92596091428578L150,285.6620386285714L125,317.27352205714277L100,350.0122100571429L75,360.0506283428571L50,363.42483634285713L25,351.6846397714286Z\" fill=\"#ff7f0e\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 0; resource: _solar_photovoltaic_btm\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,351.6846397714286L50,363.42483634285713L75,360.0506283428571L100,350.0122100571429L125,317.27352205714277L150,285.6620386285714L175,250.92596091428578L200,273.7282923428571L225,380.1567586285714L250,391.0758672L275,384.1180340571429L300,413.58943062857145L325,459.7060066285714L350,475.51327062857143L375,477.3078946285714L400,469.3963700571428L425,427.7126077714285L450,367.9275106285714L475,225.6223906285715L500,182.33372777142858L525,183.2745826285714L550,229.92575519999997L575,281.42640891428573L600,323.58960891428575L600,323.58960891428575L575,281.42640891428573L550,229.92575519999997L525,183.2745826285714L500,182.33372777142858L475,230.52867634285715L450,401.2120820571428L425,475.8291792L400,527.9735129142857L375,541.5010374857143L350,541.9075563428572L325,526.0077209142856L300,476.73343062857145L275,446.23346262857143L250,450.2907243428572L225,429.28133005714284L200,296.4700066285714L175,256.6139609142858L150,285.6620386285714L125,317.27352205714277L100,350.0122100571429L75,360.0506283428571L50,363.42483634285713L25,351.6846397714286Z\" fill=\"#ffbb78\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 21.4; resource: biomass\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,351.6846397714286L50,363.42483634285713L75,360.0506283428571L100,350.0122100571429L125,317.27352205714277L150,285.6620386285714L175,256.6139609142858L200,296.4700066285714L225,429.28133005714284L250,450.2907243428572L275,446.23346262857143L300,476.73343062857145L325,526.0077209142856L350,541.9075563428572L375,541.5010374857143L400,527.9735129142857L425,475.8291792L450,401.2120820571428L475,230.52867634285715L500,182.33372777142858L525,183.2745826285714L550,229.92575519999997L575,281.42640891428573L600,323.58960891428575L600,327.25818034285714L575,285.0949803428572L550,233.5943266285714L525,186.94315405714286L500,186.0022992L475,234.1972477714286L450,404.8806534857142L425,479.49775062857145L400,531.6420843428571L375,545.1696089142857L350,545.5761277714286L325,529.6762923428571L300,480.40200205714285L275,449.9020340571429L250,453.9592957714286L225,432.9499014857143L200,300.1385780571429L175,260.2825323428573L150,289.33061005714285L125,320.9420934857142L100,353.68078148571436L75,363.7191997714286L50,367.0934077714286L25,355.35321120000003Z\" fill=\"#2ca02c\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 42; resource: hydroelectric_pumped_storage\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,355.35321120000003L50,367.0934077714286L75,363.7191997714286L100,353.68078148571436L125,320.9420934857142L150,289.33061005714285L175,260.2825323428573L200,300.1385780571429L225,432.9499014857143L250,453.9592957714286L275,449.9020340571429L300,480.40200205714285L325,529.6762923428571L350,545.5761277714286L375,545.1696089142857L400,531.6420843428571L425,479.49775062857145L450,404.8806534857142L475,234.1972477714286L500,186.0022992L525,186.94315405714286L550,233.5943266285714L575,285.0949803428572L600,327.25818034285714L600,334.4581803428572L575,292.2949803428571L550,240.7943266285714L525,194.14315405714285L500,193.20229920000003L475,241.39724777142862L450,412.08065348571427L425,486.69775062857144L400,538.8420843428571L375,552.3696089142857L350,552.7761277714286L325,536.8762923428571L300,487.60200205714284L275,457.1020340571429L250,461.15929577142856L225,440.1499014857143L200,307.3385780571429L175,267.48253234285727L150,296.53061005714284L125,328.1420934857142L100,360.88078148571435L75,370.91919977142857L50,374.2934077714286L25,362.5532112Z\" fill=\"#98df8a\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 1385.106268; resource: natural_gas_fired_combined_cycle\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,362.5532112L50,374.2934077714286L75,370.91919977142857L100,360.88078148571435L125,328.1420934857142L150,296.53061005714284L175,267.48253234285727L200,307.3385780571429L225,440.1499014857143L250,461.15929577142856L275,457.1020340571429L300,487.60200205714284L325,536.8762923428571L350,552.7761277714286L375,552.3696089142857L400,538.8420843428571L425,486.69775062857144L450,412.08065348571427L475,241.39724777142862L500,193.20229920000003L525,194.14315405714285L550,240.7943266285714L575,292.2949803428571L600,334.4581803428572L600,600L575,600L550,571.3943266285714L525,524.7431540571429L500,523.8022992L475,569.274962057143L450,600L425,600L400,600L375,600L350,600L325,600L300,600L275,600L250,600L225,600L200,600L175,598.0825323428572L150,600L125,600L100,600L75,600L50,600L25,600Z\" fill=\"#d62728\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h600v600h-600Z\"/><g><g class=\"mark-area role-mark marks\" role=\"graphics-object\" aria-roledescription=\"area mark container\"><path aria-label=\"hour: 2401; gen_sum: 0; resource: natural_gas_fired_combustion_turbine\" role=\"graphics-symbol\" aria-roledescription=\"area mark\" d=\"M25,600L50,600L75,600L100,600L125,600L150,600L175,598.0825323428572L200,600L225,600L250,600L275,600L300,600L325,600L350,600L375,600L400,600L425,600L450,600L475,569.274962057143L500,523.8022992L525,524.7431540571429L550,571.3943266285714L575,600L600,600L600,600L575,600L550,600L525,600L500,600L475,600L450,600L425,600L400,600L375,600L350,600L325,600L300,600L275,600L250,600L225,600L200,600L175,600L150,600L125,600L100,600L75,600L50,600L25,600Z\" fill=\"#ff9896\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g><g class=\"mark-group role-legend\" role=\"graphics-symbol\" aria-roledescription=\"legend\" aria-label=\"Symbol legend titled 'resource' for fill color with 8 values: _onshore_wind_turbine, _small_hydroelectric, _solar_photovoltaic, _solar_photovoltaic_btm, biomass, ending with natural_gas_fired_combustion_turbine\"><g transform=\"translate(618,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v118h-175Z\" pointer-events=\"none\"/><g><g class=\"mark-group role-legend-entry\"><g transform=\"translate(0,16)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-group role-scope\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#1f77b4\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_onshore_wind_turbine</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,13)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#aec7e8\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_small_hydroelectric</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,26)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#ff7f0e\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_solar_photovoltaic</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,39)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#ffbb78\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">_solar_photovoltaic_btm</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,52)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#2ca02c\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">biomass</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,65)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#98df8a\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">hydroelectric_pumped_storage</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,78)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#d62728\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">natural_gas_fired_combined_cy…</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,91)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h175v11h-175Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M5,0A5,5,0,1,1,-5,0A5,5,0,1,1,5,0\" fill=\"#ff9896\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">natural_gas_fired_combustion_t…</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-text role-legend-title\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,9)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">resource</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g></g></svg>\n"
      ],
      "text/plain": [
       "@vlplot(\n",
       "    width=600,\n",
       "    height=600,\n",
       "    mark=\"area\",\n",
       "    encoding={\n",
       "        x={\n",
       "            field=\"hour\"\n",
       "        },\n",
       "        y={\n",
       "            stack=\"zero\",\n",
       "            field=\"gen_sum\"\n",
       "        },\n",
       "        color={\n",
       "            scale={\n",
       "                scheme=\"category20\"\n",
       "            },\n",
       "            field=\"resource\",\n",
       "            type=\"nominal\"\n",
       "        }\n",
       "    },\n",
       "    data={\n",
       "        values=...\n",
       "    }\n",
       ")"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Increase solar photovoltaic capacity\n",
    "gen_df_sens = copy(gen_df)\n",
    "gen_df_sens[gen_df_sens.resource .== \"solar_photovoltaic\",\n",
    "    :existing_cap_mw] .= 3500\n",
    "\n",
    "solution = economic_dispatch_multi_time(gen_df_sens, loads_multi, gen_variable_multi);\n",
    "\n",
    "sol_gen = innerjoin(solution.solution, \n",
    "                    gen_df[!, [:r_id, :resource]], \n",
    "                    on = :r_id)\n",
    "\n",
    "sol_gen = combine(groupby(sol_gen, [:resource, :hour]), \n",
    "            :gen => sum)\n",
    "sol_gen_btm = copy(sol_gen)\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"solar_photovoltaic\", :resource] .= \"_solar_photovoltaic\"\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"onshore_wind_turbine\", :resource] .= \"_onshore_wind_turbine\"\n",
    "sol_gen_btm[sol_gen_btm.resource .== \"small_hydroelectric\", :resource] .= \"_small_hydroelectric\"\n",
    "\n",
    "btm = DataFrame(resource = repeat([\"_solar_photovoltaic_btm\"]; outer=length(T_period)), \n",
    "    hour = T_period,\n",
    "    gen_sum = gen_variable_multi[gen_variable_multi.gen_full .== \"wec_sdge_solar_photovoltaic_1.0\",:cf] * 600)\n",
    "append!(sol_gen_btm, btm)\n",
    "\n",
    "# Reorder resources\n",
    "sort!(sol_gen_btm, [:hour, :resource])\n",
    "\n",
    "# Plot and save the resulting generation figure\n",
    "p = sol_gen_btm |>\n",
    "@vlplot(:area, \n",
    "    x=:hour, y={:gen_sum, stack=:zero}, \n",
    "    color={\"resource:n\", scale={scheme=\"category20\"}},\n",
    "    width=600,height=600)\n",
    "save(\"results/sol_gen_btm.png\",p)\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The large reduction in net load during the day and the loss of solar (orange) in the late afternoon timed with the rise in the evening peak is sometimes called the **\"duck curve\"** because of their passing resemblance to a duck's belly and head. Squint at it and then examine this (https://www.energy.gov/eere/articles/confronting-duck-curve-how-address-over-generation-solar-energy):\n",
    "\n",
    "<img src=\"https://www.energy.gov/sites/prod/files/styles/borealis_photo_gallery_large_respondmedium/public/CAISO_DuckCurve_720_469_80.jpg?itok=99uYAxGo\" style=\"width: 450px; height: auto\" align=\"left\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You may notice that the model still uses combustion turbines (light pink above) during hours when there is sufficient capacity of combined cycle plants, which are more efficient. This is because of ramp limits, which we will examine now.\n",
    "\n",
    "All constraints (in a linear program) have a **\"marginal value\"** (also known as \"shadow price\" or \"dual value\") which is how much the objective would change if the right-hand-side (RHS) of the constraint were increased by one unit. Let's examine the marginals of the ramp up constraint for the combined cycle plants using the values from the new equation we added to `economic_dispatch_multi_time` (line 72)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "data": {
        "values": [
         {
          "gen": 0,
          "hour": 2401,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2401,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2401,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2401,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2401,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2401,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2402,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2402,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2402,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2402,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2402,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2402,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2403,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2403,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2403,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2403,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2403,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2403,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2404,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2404,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2404,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2404,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2404,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2404,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2405,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2405,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2405,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2405,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2405,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2405,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2406,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2406,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2406,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2406,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2406,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2406,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2407,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2407,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2407,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2407,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2407,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2407,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2408,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2408,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2408,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2408,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2408,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2408,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2409,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2409,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2409,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2409,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2409,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2409,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2410,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2410,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2410,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2410,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2410,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2410,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2411,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2411,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2411,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2411,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2411,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2411,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2412,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2412,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2412,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2412,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2412,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2412,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2413,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2413,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2413,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2413,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2413,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2413,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2414,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2414,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2414,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2414,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2414,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2414,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2415,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2415,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2415,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2415,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2415,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2415,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": -0.9508999999999972,
          "hour": 2416,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2416,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2416,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2416,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2416,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2416,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": -1.9017999999999944,
          "hour": 2417,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": -2.644499999999983,
          "hour": 2417,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": -4.289299999999987,
          "hour": 2417,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2417,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2417,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2417,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2418,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": -8.144799999999996,
          "hour": 2418,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": -8.967199999999998,
          "hour": 2418,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2418,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2418,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2418,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2419,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2419,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2419,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2419,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2419,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2419,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2420,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2420,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2420,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2420,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2420,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2420,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2421,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2421,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2421,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2421,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2421,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2421,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2422,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2422,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2422,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2422,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2422,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2422,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2423,
          "r_id": 3,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2423,
          "r_id": 4,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2423,
          "r_id": 5,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2423,
          "r_id": 6,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2423,
          "r_id": 7,
          "resource": "natural_gas_fired_combined_cycle"
         },
         {
          "gen": 0,
          "hour": 2423,
          "r_id": 8,
          "resource": "natural_gas_fired_combined_cycle"
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "r_id",
         "scale": {
          "scheme": "category20"
         },
         "type": "nominal"
        },
        "x": {
         "field": "hour",
         "type": "quantitative"
        },
        "y": {
         "field": "gen",
         "title": "Marginal",
         "type": "quantitative"
        }
       },
       "mark": "line"
      },
      "image/png": "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",
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" class=\"marks\" width=\"284\" height=\"247\" viewBox=\"0 0 284 247\"><rect width=\"284\" height=\"247\" fill=\"white\"/><g fill=\"none\" stroke-miterlimit=\"10\" transform=\"translate(39,10)\"><g class=\"mark-group role-frame root\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0.5,0.5h200v200h-200Z\" stroke=\"#ddd\"/><g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,200.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(42,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(83,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(125,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(167,-200)\" x2=\"0\" y2=\"200\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" aria-hidden=\"true\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-grid\" pointer-events=\"none\"><line transform=\"translate(0,178)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,133)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,89)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,44)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,0)\" x2=\"200\" y2=\"0\" stroke=\"#ddd\" stroke-width=\"1\" opacity=\"1\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"X-axis titled 'hour' for a linear scale with values from 2,400 to 2,424\"><g transform=\"translate(0.5,200.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(42,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(83,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(125,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(167,0)\" x2=\"0\" y2=\"5\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,400</text><text text-anchor=\"middle\" transform=\"translate(41.66666666666667,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,405</text><text text-anchor=\"middle\" transform=\"translate(83.33333333333334,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,410</text><text text-anchor=\"middle\" transform=\"translate(125,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,415</text><text text-anchor=\"middle\" transform=\"translate(166.66666666666669,15)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">2,420</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,0)\" x2=\"200\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(100,30)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">hour</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-axis\" role=\"graphics-symbol\" aria-roledescription=\"axis\" aria-label=\"Y-axis titled 'Marginal' for a linear scale with values from −9 to 0\"><g transform=\"translate(0.5,0.5)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-rule role-axis-tick\" pointer-events=\"none\"><line transform=\"translate(0,178)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,133)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,89)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,44)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/><line transform=\"translate(0,0)\" x2=\"-5\" y2=\"0\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-label\" pointer-events=\"none\"><text text-anchor=\"end\" transform=\"translate(-7,180.77777777777777)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">−8</text><text text-anchor=\"end\" transform=\"translate(-7,136.33333333333334)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">−6</text><text text-anchor=\"end\" transform=\"translate(-7,91.88888888888889)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">−4</text><text text-anchor=\"end\" transform=\"translate(-7,47.44444444444444)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">−2</text><text text-anchor=\"end\" transform=\"translate(-7,3)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">0</text></g><g class=\"mark-rule role-axis-domain\" pointer-events=\"none\"><line transform=\"translate(0,200)\" x2=\"0\" y2=\"-200\" stroke=\"#888\" stroke-width=\"1\" opacity=\"1\"/></g><g class=\"mark-text role-axis-title\" pointer-events=\"none\"><text text-anchor=\"middle\" transform=\"translate(-23,100) rotate(-90) translate(0,-2)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">Marginal</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-group role-scope pathgroup\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; Marginal: 0; r_id: 3\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,0L16.666666666666664,0L25,0L33.33333333333333,0L41.66666666666667,0L50,0L58.333333333333336,0L66.66666666666666,0L75,0L83.33333333333334,0L91.66666666666666,0L100,0L108.33333333333333,0L116.66666666666667,0L125,0L133.33333333333331,21.131111111111057L141.66666666666669,42.26222222222209L150,0L158.33333333333331,0L166.66666666666669,0L175,0L183.33333333333331,0L191.66666666666669,0\" stroke=\"#1f77b4\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; Marginal: 0; r_id: 4\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,0L16.666666666666664,0L25,0L33.33333333333333,0L41.66666666666667,0L50,0L58.333333333333336,0L66.66666666666666,0L75,0L83.33333333333334,0L91.66666666666666,0L100,0L108.33333333333333,0L116.66666666666667,0L125,0L133.33333333333331,0L141.66666666666669,58.76666666666628L150,180.99555555555548L158.33333333333331,0L166.66666666666669,0L175,0L183.33333333333331,0L191.66666666666669,0\" stroke=\"#aec7e8\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; Marginal: 0; r_id: 5\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,0L16.666666666666664,0L25,0L33.33333333333333,0L41.66666666666667,0L50,0L58.333333333333336,0L66.66666666666666,0L75,0L83.33333333333334,0L91.66666666666666,0L100,0L108.33333333333333,0L116.66666666666667,0L125,0L133.33333333333331,0L141.66666666666669,95.31777777777748L150,199.27111111111105L158.33333333333331,0L166.66666666666669,0L175,0L183.33333333333331,0L191.66666666666669,0\" stroke=\"#ff7f0e\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; Marginal: 0; r_id: 6\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,0L16.666666666666664,0L25,0L33.33333333333333,0L41.66666666666667,0L50,0L58.333333333333336,0L66.66666666666666,0L75,0L83.33333333333334,0L91.66666666666666,0L100,0L108.33333333333333,0L116.66666666666667,0L125,0L133.33333333333331,0L141.66666666666669,0L150,0L158.33333333333331,0L166.66666666666669,0L175,0L183.33333333333331,0L191.66666666666669,0\" stroke=\"#ffbb78\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; Marginal: 0; r_id: 7\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,0L16.666666666666664,0L25,0L33.33333333333333,0L41.66666666666667,0L50,0L58.333333333333336,0L66.66666666666666,0L75,0L83.33333333333334,0L91.66666666666666,0L100,0L108.33333333333333,0L116.66666666666667,0L125,0L133.33333333333331,0L141.66666666666669,0L150,0L158.33333333333331,0L166.66666666666669,0L175,0L183.33333333333331,0L191.66666666666669,0\" stroke=\"#2ca02c\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h200v200h-200Z\"/><g><g class=\"mark-line role-mark marks\" role=\"graphics-object\" aria-roledescription=\"line mark container\"><path aria-label=\"hour: 2401; Marginal: 0; r_id: 8\" role=\"graphics-symbol\" aria-roledescription=\"line mark\" d=\"M8.333333333333332,0L16.666666666666664,0L25,0L33.33333333333333,0L41.66666666666667,0L50,0L58.333333333333336,0L66.66666666666666,0L75,0L83.33333333333334,0L91.66666666666666,0L100,0L108.33333333333333,0L116.66666666666667,0L125,0L133.33333333333331,0L141.66666666666669,0L150,0L158.33333333333331,0L166.66666666666669,0L175,0L183.33333333333331,0L191.66666666666669,0\" stroke=\"#98df8a\" stroke-width=\"2\"/></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g><g class=\"mark-group role-legend\" role=\"graphics-symbol\" aria-roledescription=\"legend\" aria-label=\"Symbol legend titled 'r_id' for stroke color with 6 values: 3, 4, 5, 6, 7, 8\"><g transform=\"translate(218,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v92h-22Z\" pointer-events=\"none\"/><g><g class=\"mark-group role-legend-entry\"><g transform=\"translate(0,16)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h0v0h0Z\" pointer-events=\"none\"/><g><g class=\"mark-group role-scope\" role=\"graphics-object\" aria-roledescription=\"group mark container\"><g transform=\"translate(0,0)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v11h-22Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#1f77b4\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">3</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,13)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v11h-22Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#aec7e8\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">4</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,26)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v11h-22Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#ff7f0e\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">5</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,39)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v11h-22Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#ffbb78\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">6</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,52)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v11h-22Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#2ca02c\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">7</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g><g transform=\"translate(0,65)\"><path class=\"background\" aria-hidden=\"true\" d=\"M0,0h22v11h-22Z\" pointer-events=\"none\" opacity=\"1\"/><g><g class=\"mark-symbol role-legend-symbol\" pointer-events=\"none\"><path transform=\"translate(6,6)\" d=\"M-5,0L5,0\" stroke=\"#98df8a\" stroke-width=\"1.5\" opacity=\"1\"/></g><g class=\"mark-text role-legend-label\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(16,9)\" font-family=\"sans-serif\" font-size=\"10px\" fill=\"#000\" opacity=\"1\">8</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g><g class=\"mark-text role-legend-title\" pointer-events=\"none\"><text text-anchor=\"start\" transform=\"translate(0,9)\" font-family=\"sans-serif\" font-size=\"11px\" font-weight=\"bold\" fill=\"#000\" opacity=\"1\">r_id</text></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" pointer-events=\"none\" display=\"none\"/></g></g></g><path class=\"foreground\" aria-hidden=\"true\" d=\"\" display=\"none\"/></g></g></g></svg>\n"
      ],
      "text/plain": [
       "@vlplot(\n",
       "    mark=\"line\",\n",
       "    encoding={\n",
       "        x={\n",
       "            field=\"hour\"\n",
       "        },\n",
       "        y={\n",
       "            title=\"Marginal\",\n",
       "            field=\"gen\"\n",
       "        },\n",
       "        color={\n",
       "            scale={\n",
       "                scheme=\"category20\"\n",
       "            },\n",
       "            field=\"r_id\",\n",
       "            type=\"nominal\"\n",
       "        }\n",
       "    },\n",
       "    data={\n",
       "        values=...\n",
       "    }\n",
       ")"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marg_gen = innerjoin(solution.marginals, \n",
    "                    gen_df[!, [:r_id, :resource]], \n",
    "                    on = :r_id)\n",
    "marg_gen[marg_gen.resource .== \"natural_gas_fired_combined_cycle\",:] |>\n",
    "@vlplot(:line, \n",
    "    x=:hour, y={:gen, title=\"Marginal\"}, \n",
    "    color={\"r_id:n\", scale={scheme=\"category20\"}})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus, during the ramp hours, the marginal value becomes negative&mdash;in this case, reaching ~ -9 for the combined cycle plant with `r_id=5`. This is the interpretation:\n",
    "\n",
    "**If the RHS of the RampUp constraint for `r_id=5` combined cycle plant were increased by 1 unit, the problem objective would reduce by about 9.** \n",
    "\n",
    "The precise value of the largest magnitude ramp marginal is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>DataFrameRow (4 columns)</p><div class=\"data-frame\"><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>hour</th><th>gen</th><th>resource</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Int64\">Int64</th><th title=\"Float64\">Float64</th><th title=\"Union{Missing, String}\">String?</th></tr></thead><tbody><tr><th>430</th><td>5</td><td>2418</td><td>-8.9672</td><td>natural_gas_fired_combined_cycle</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cccc}\n",
       "\t& r\\_id & hour & gen & resource\\\\\n",
       "\t\\hline\n",
       "\t& Int64? & Int64 & Float64 & String?\\\\\n",
       "\t\\hline\n",
       "\t430 & 5 & 2418 & -8.9672 & natural\\_gas\\_fired\\_combined\\_cycle \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1mDataFrameRow\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m hour  \u001b[0m\u001b[1m gen     \u001b[0m\u001b[1m resource                         \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m Int64 \u001b[0m\u001b[90m Float64 \u001b[0m\u001b[90m String?                          \u001b[0m\n",
       "─────┼──────────────────────────────────────────────────────────\n",
       " 430 │      5   2418  -8.9672  natural_gas_fired_combined_cycle"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marg_gen[argmin(marg_gen.gen),:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Why is this the case?** Due to the ramp constraint, we have to substitute some generation from `r_id=5` with a more expensive unit, in this case the more flexible `r_id=9` combustion turbine. \n",
    "\n",
    "We can, in fact, recover this marginal value by re-examining the variable costs of these generators at the top of the notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"data-frame\"><p>2 rows × 2 columns</p><table class=\"data-frame\"><thead><tr><th></th><th>r_id</th><th>varcost</th></tr><tr><th></th><th title=\"Union{Missing, Int64}\">Int64?</th><th title=\"Float64\">Float64</th></tr></thead><tbody><tr><th>1</th><td>5</td><td>29.3061</td></tr><tr><th>2</th><td>9</td><td>38.2733</td></tr></tbody></table></div>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cc}\n",
       "\t& r\\_id & varcost\\\\\n",
       "\t\\hline\n",
       "\t& Int64? & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & 5 & 29.3061 \\\\\n",
       "\t2 & 9 & 38.2733 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "\u001b[1m2×2 DataFrame\u001b[0m\n",
       "\u001b[1m Row \u001b[0m│\u001b[1m r_id   \u001b[0m\u001b[1m varcost \u001b[0m\n",
       "\u001b[1m     \u001b[0m│\u001b[90m Int64? \u001b[0m\u001b[90m Float64 \u001b[0m\n",
       "─────┼─────────────────\n",
       "   1 │      5  29.3061\n",
       "   2 │      9  38.2733"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "varcost_comp = supply_curve[in.(supply_curve.r_id,Ref([5,9])),[:r_id,:varcost]]\n",
    "varcost_comp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If our guess is true, the difference between these should be our marginal value, and voila:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.967199999999998"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "varcost_comp[2,2] - varcost_comp[1,2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also notice that the marginals are zero for most of the day. Recalling from Notebook 1 our discussion on \"binding\" constraints, this is because the RampUp constraint is **not binding** during these hours. Alternatively, changing the RHS of the RampUp constraint does not affect the problem objective."
   ]
  }
 ],
 "metadata": {
  "@webio": {
   "lastCommId": null,
   "lastKernelId": null
  },
  "kernelspec": {
   "display_name": "Julia 1.6.2",
   "language": "julia",
   "name": "julia-1.6"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}