siang-chang/aidea-solar-energy-surplux
AIdea 太陽能發電量預測競賽, ITRI, Surplux Energy
This project helps solar energy operators and planners accurately forecast daily solar power generation for various sites. By analyzing historical power output, weather data like temperature and irradiance, and solar panel specifications, it predicts future daily electricity generation in kilowatt-hours. This tool is designed for energy managers, grid operators, and renewable energy developers who need to optimize energy distribution and planning.
No commits in the last 6 months.
Use this if you need to predict daily solar power output from PV systems to manage energy grids or plan renewable energy installations more effectively.
Not ideal if you require real-time, minute-by-minute generation forecasts or only have limited historical weather and site-specific data.
Stars
9
Forks
2
Language
HTML
License
MIT
Category
Last pushed
Oct 19, 2023
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