Short-term forecast method of wind power output based on multi-scale CNN-LSTM in extreme weather

It is often difficult to accurately capture wind power variation rules under extreme weather conditions, resulting in large forecasting errors. Therefore, a short-term forecast method for wind power output based on multi-scale CNN-LSTM under extreme weather conditions was designed. The truncated nor...

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Detalles Bibliográficos

Autores principales:	Yan Zhang, Huaying Su, Rongrong Wang, Jiali Deng, Yin Wang, Wei Guo, Run Li
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-11-01
Colección:	International Journal of Electrical Power & Energy Systems
Materias:	Extreme weather Multi-scale CNN-LSTM Wind power output Short-term forecast The XGBoost model
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S0142061525007392
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