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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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Principais autores: Xiaojun Hua, Zhiming Zhang, Tao Ye, Zida Song, Yun Shao, Yixin Su
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-09-01
Serier:Energies
Fag:
short-term PV power prediction
empirical mode decomposition
kernel principal component analysis
neural network
starfish optimization algorithm
Online adgang:https://www.mdpi.com/1996-1073/18/19/5124
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