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This study evaluates the effectiveness of hybrid models, specifically LSTM and GRU, for forecasting solar irradiance and temperature to predict rooftop PV power generation for a hotel building in Iran. Utilizing data from 1984 to 2023, the CNN-GRU model showed superior accuracy, forecasting a mean annual output power of 779.7 MWh, which covers approximately 62% of the hotel

Author

Abubakar Danjuma Maiwada

Language

EN