Wind power forecasting using hybrid ICEEMDAN-KPCA and IWOA-BiLSTM models

This paper addresses inadequate noise suppression, weak feature representation, and unstable model training and hyperparameter optimization in traditional short-term wind power forecasting under complex wind-farm conditions. We propose a forecasting framework that integrates improved complete ensemb...

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Autors principals:	Jingyu Yang, Li Peng, Longfu Luo, Wanting Li, Yuxuan Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-12-01
Col·lecció:	International Journal of Electrical Power & Energy Systems
Matèries:	Wind power forecasting Empirical modal decomposition Kernel principal component analysis Improved whale optimisation algorithm Bi-directional long and short-term memory neural networks
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S0142061525009937
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