Max_Energy_Produced_by_Year.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "173DVnVk-Bnu9udgGk57bnoplHg8xwebA",
      "authorship_tag": "ABX9TyNIu0kdiLiS359Ur2rknlUN",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Sandika978/Energy/blob/main/Max_Energy_Produced_by_Year.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Wind Power: A Driving Force in the Changing Landscape of Electricity Generation in United States\n",
        "In the United States, wind power has emerged as a central player in this energy evolution. What started as a modest contribution to the electricity mix has grown into a substantial force, reshaping the nation's power generation narrative. Over the years, wind energy has taken significant strides, redefining the balance between sustainability, economic growth, and energy security."
      ],
      "metadata": {
        "id": "-H-Qvc754g1I"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J1B1iZZVkLyM",
        "outputId": "e3905295-1d1e-4b66-f908-40f11b22d73f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'Energy'...\n",
            "remote: Enumerating objects: 34, done.\u001b[K\n",
            "remote: Counting objects: 100% (34/34), done.\u001b[K\n",
            "remote: Compressing objects: 100% (32/32), done.\u001b[K\n",
            "remote: Total 34 (delta 11), reused 0 (delta 0), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (34/34), 263.03 KiB | 7.51 MiB/s, done.\n",
            "Resolving deltas: 100% (11/11), done.\n"
          ]
        }
      ],
      "source": [
        "## Cloning With GitHub##\n",
        "!git clone https://github.com/Sandika978/Energy.git"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A Rising Wind: From 6 Billion kWh to 380 Billion\n",
        "The growth of wind energy in the United States is nothing short of remarkable. From a modest 6 billion kilowatt-hours (kWh) in the year 2000, wind power's annual electricity generation capacity soared to a staggering 380 billion kWh by 2021. This surge in wind power installations has been instrumental in reducing the carbon footprint and advancing the transition towards cleaner energy sources. By 2022, wind turbines accounted for 10.2% of total utility-scale electricity generation in the U.S., a testament to the sector's rapid expansion. This growth trajectory reflects the commitment of various states to embrace wind power as a viable alternative, with 19 states boasting over 1,000 MW of installed capacity. Notably, Texas, Iowa, Oklahoma, Kansas, and California have emerged as pioneers, collectively generating more than half of the nation's wind energy.\n",
        "\n",
        "Data analysis of Wind Power Generation done by python below:"
      ],
      "metadata": {
        "id": "NX5BNtrU41Mp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n"
      ],
      "metadata": {
        "id": "szzEkNEokRN8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data.\n",
        "NumPy can be used to perform a wide variety of mathematical operations on arrays.\n",
        "Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python."
      ],
      "metadata": {
        "id": "1-af_a4G6DxT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Data of Wind power Generation obtained by Kaggle. Here I have analysed data of power genertion on some states of the United States."
      ],
      "metadata": {
        "id": "TL_04Tv97fsD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data='/content/drive/MyDrive/Colab Notebooks/max wind energy in us by year.csv'"
      ],
      "metadata": {
        "id": "zYd189QYkvDu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Pandas library can read csv file."
      ],
      "metadata": {
        "id": "Qm8V1hpx78FV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv(data)"
      ],
      "metadata": {
        "id": "sMVM2XxplEM2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's know the different dependent variables (states ) and Indpendent variable (Year) from below coding:"
      ],
      "metadata": {
        "id": "uaSQerr78Kqc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.head"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1iweq9KnlPnf",
        "outputId": "082999f4-12d2-45fa-8c7d-e8a7618eb7c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.head of     Year  wind_texas  wind_iowa  wind_illinois  wind_kansas  wind_oklahoma\n",
              "0   2001        1187        488              0           40              0\n",
              "1   2002        2656        920              0          466              0\n",
              "2   2003        2569        982             16          366             54\n",
              "3   2004        3137       1050             78          358            574\n",
              "4   2005        4238       1647            141          425            847\n",
              "5   2006        6671       2316            254          992           1712\n",
              "6   2007        9007       2759            663         1152           1849\n",
              "7   2008       16224       4081           2337         1760           2359\n",
              "8   2009       20026       7420           2820         2862           2697\n",
              "9   2010       26251       9170           4453         3406           3807\n",
              "10  2011       30547      10708           6213         3720           5606\n",
              "11  2012       32214      14032           7727         5195           8159\n",
              "12  2013       35875      15569           9625         9432          11162\n",
              "13  2014       40005      16307          10085        10844          11937\n",
              "14  2015       44833      17873          10748        10999          14033\n",
              "15  2016       57530      20072          10663        14112          20069\n",
              "16  2017       67061      21373          12267        18598          23599\n",
              "17  2018       75700      21334          11899        18907          27338\n",
              "18  2019       83621      26305          14460        21126          29007\n",
              "19  2020       92439      34182          16226        23964          29417\n",
              "20  2021       99474      37097          19132        25693          32540\n",
              "21  2022      113881      44664          23062        29468          37417>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JWsHnAqwlPfX",
        "outputId": "b134cab5-9bf5-4f28-964d-719a8cba81d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Year', 'wind_texas', 'wind_iowa', 'wind_illinois', 'wind_kansas',\n",
              "       'wind_oklahoma'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's plot the data for the year 2001 to 2022.\n",
        "for the Five differnt states of the United States."
      ],
      "metadata": {
        "id": "lvFduqnY8npk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from matplotlib.lines import MarkerStyle\n",
        "plt.plot(df['Year'], df['wind_iowa'],label='Iowa')\n",
        "plt.plot(df['Year'], df['wind_texas'], label='Texsas')\n",
        "plt.plot(df['Year'], df['wind_illinois'], label='Illinois')\n",
        "plt.plot(df['Year'], df['wind_kansas'], label='Kansas')\n",
        "plt.plot(df['Year'], df['wind_oklahoma'], label='Oklahoma')\n",
        "plt.xlabel(' Years')\n",
        "plt.ylabel('Wind power Generation in MW')\n",
        "plt.legend()\n",
        "plt.title('Wind Power Generation in US states')\n",
        "plt.savefig('Wind.png')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "llaeEcMimN2E",
        "outputId": "24ebc135-4d1b-4542-8f35-49e08441f2d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "kMx07h1Bjo9i"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "These Five states Texas(33,133 MW) , Illinois(6,409 MW), Iowa (11,660 MW), Kansas (7,016 MW), and Oklahoma (9,048 MW) are most wind capacity installed at the end of year 2020, generating over half of all wind energy in the nation."
      ],
      "metadata": {
        "id": "e7v8FklunogA"
      }
    }
  ]
}