Advancing photovoltaic power forecast accuracy: A hybrid particle filter and recurrent neural network model for data-scarce scenarios toward thermal adaptation

Accurate PV forecasting is vital for grid stability, efficient energy management, and maximizing the use of solar power, especially as solar adoption grows and weather conditions remain unpredictable. This study examines particle filter-enhanced neural networks for photovoltaic power forecasting tow...

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Kaituhi matua:	Mohammed Alghassab
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2025-11-01
Rangatū:	Case Studies in Thermal Engineering
Ngā marau:	Photovoltaic power forecasting Particle filter Renewable energy forecasting Recurrent neural networks Small dataset
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S2214157X25015072
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!