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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Updated
Sep 15, 2023 - C
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"
This repository contains the code related to the research article titled "Control óptimo multifase de sistema fotovoltaico-hidrógeno asistido por red".
An emulator and monitoring UI for a photovoltaic system
Collect monitoring data from an OpenEMS-based system and store these in an Influx time series database
Descriptive analysis of Brazil's photovoltaic potential
This project focuses on using Convolutional Neural Networks (CNNs) to accurately quantify chemical states via Time-Resolved Photoemission Spectroscopy (TRPES) for Perovskite Solar Cells. It also aims to determine uncertainty with Bayesian Neural Networks.
Solar Mini-Solaranlage PV Photovoltaik Balkonkraftwerk BKW
Information about Growatt MIC 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.
Automated detection of defected photovoltaic modules using thermal images and Deep learning
Adapting Meta AI's Segment Anything to PV Systems Detection Downstream Task
Config files for my GitHub profile.
Bachelor Thesis for B.Sc. Business Education - Trade deflection on Chinese exports of photovoltaic modules and key components as a reaction to the European Union’s 2013 anti-dumping duties
Simulations of the paper Partial Harmonic Current Compensation for Multifunctional Photovoltaic Inverters published in the IEEE Transactions on Power Electronics.
WiFi and web interface information about Deye microinverters for photovoltaic systems / solar power systems
SQL database for PV grid systems, offering crucial insights into component relationships, technical details, and real-time operational parameters.
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.
Code from our research project on detecting solar panels in satellite images
HACS Version of the E3DC Home Assistant integration
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