ThomasGust/SoilingNet
This repository is for the SoilingNet Project. Soiling Net is an AI model to analyze soiling and power loss on photovoltaic panels, with the ultimate goal of making solar panel maintenance easier for everyone.
This project helps solar panel operators and maintenance technicians identify and quantify dirt and debris on photovoltaic panels. You input images of solar panels, and it outputs an analysis showing the type and distribution of soiling, along with a prediction of its impact severity on power output. This tool is designed for anyone responsible for the efficiency and upkeep of solar energy systems.
No commits in the last 6 months.
Use this if you need to quickly assess soiling on solar panels and understand its potential impact on power generation to prioritize cleaning and maintenance.
Not ideal if you require real-time, continuous monitoring from installed sensors or highly precise, scientific-grade measurements of soiling composition.
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10
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4
Language
Python
License
MIT
Category
Last pushed
Aug 27, 2024
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