Enhancing PV power forecasting through feature selection and artificial neural networks: a case study

Abstract This paper presents a comprehensive investigation into enhancing photovoltaic (PV) power forecasting by systematically integrating feature selection techniques with artificial neural networks. Addressing the growing demand for reliable renewable energy forecasting, the study employs several...

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Κύριοι συγγραφείς:	Mokhtar Ali, Abdelhalim Rabehi, Abdelkerim Souahlia, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem, Takele Ferede Agajie
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2025-07-01
Σειρά:	Scientific Reports
Θέματα:	PV power Renewable energy Features selection Forecasting Artificial neural networks
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-025-07038-x
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