Homeassistant E3DC Integration
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Updated
Jul 3, 2024 - Python
Homeassistant E3DC Integration
Set of tools to calculate degradation responses and degradation related parameters for PV.
Automated pipeline for large scale detection of solar arrays in France
Code repo for Spatio-Temporal Denoising Graph Autoencoder (STD-GAE)
A simple tool designed to help you analyze the ideal size of solar panels
Machine learning model to predict solar energy production in Mexico City Metropolitan Area. Results are used to generate a web application to estimate solar energy ROI for domestic users in the region.
WiFi and web interface information about Deye microinverters for photovoltaic systems / solar power systems
This repository hosts the Solar Panel Monitoring Application, featuring ESP32-based hardware and a Vue.js frontend with Express.js backend.
Simulations of the paper Partial Harmonic Current Compensation for Multifunctional Photovoltaic Inverters published in the IEEE Transactions on Power Electronics.
Technique used to optimize the power output of a photovoltaic system
An emulator and monitoring UI for a photovoltaic system
This repository contains the code related to the research article titled "Control óptimo multifase de sistema fotovoltaico-hidrógeno asistido por red".
On-grid and off-grid PV solar system sizing using Python and Jupyter Notebooks.
Automated detection of defected photovoltaic modules using thermal images and Deep learning
DWD Global Radiation Observation and Forecast Data Library - a Python package providing access to Surface Incoming Solar Radiation (SIS) or Global Horizontal Irradiance (GHI) data from Deutscher Wetterdienst (DWD). Covers Germany, Austria, and Switzerland. Useful for photovoltaic systems and Smart Home scenarios.
Adapting Meta AI's Segment Anything to PV Systems Detection Downstream Task
Code from our research project on detecting solar panels in satellite images
Management of photovoltaic power plants including administration, external data logging and statistical analysis
Código fonte desenvolvido como parte da dissertação de mestrado do PEL-UERJ sob o título:"Estratégia híbrida para rastreamento de máxima potência em sistemas fotovoltaicos sombreados"
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