Short term power load forecasting based on BES-VMD and CNN-Bi-LSTM method with error correction

Aiming at the strong non-linear and non-stationary characteristics of power load, a short-term power load forecasting method based on bald eagle search (BES) optimization variational mode decomposition (VMD), convolutional bi-directional long short-term memory (CNN-Bi-LSTM) network and considering e...

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Detalles Bibliográficos

Principais autores:	Nier Wang, Zhanming Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2023-01-01
Series:	Frontiers in Energy Research
Assuntos:	short term load forecasting BES variational modal decomposition CNN-Bi-LSTM error correction
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fenrg.2022.1076529/full
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