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Photovoltaic-Power-Forecasting-using-Hybrid-Model

Our project focuses on forecasting photovoltaic (solar) power generation using a hybrid model of Gradient Boosting and LSTM. It predicts solar output with high accuracy, optimizing energy usage, improving grid stability, and enhancing renewable energy integration.

deep-learning forecasting lstm machine-learning mean-square-error plots prediction random-forest root-mean-square-error

Creat：2025-07-18T20:00:51

Update：2025-07-20T19:38:28

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