Enhanced Short-Term Photovoltaic Power Prediction Through Multi-Method Data Processing and SFOA-Optimized CNN-BiLSTM

The increasing global demand for renewable energy poses significant challenges to grid stability due to the fluctuation and unpredictability of photovoltaic (PV) power generation. To enhance the accuracy of short-term PV power prediction, this study proposes an innovative integrated model that combi...

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Xehetasun bibliografikoak

Egile Nagusiak:	Xiaojun Hua, Zhiming Zhang, Tao Ye, Zida Song, Yun Shao, Yixin Su
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-09-01
Saila:	Energies
Gaiak:	short-term PV power prediction empirical mode decomposition kernel principal component analysis neural network starfish optimization algorithm
Sarrera elektronikoa:	https://www.mdpi.com/1996-1073/18/19/5124
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