haripatel07/SmartSolarPanelTiltOptimization
This project optimizes solar panel performance by predicting POA Global Irradiance, Surface Tilt, and Surface Azimuth using Machine Learning (Random Forest, Gradient Boosting) and Deep Learning (LSTM). The models are evaluated with metrics like MSE, R², and MAE. Random Forest outperforms others, while LSTM excels in sequential learning.
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MIT
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Mar 13, 2025
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