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

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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Bibliographic Details
Main Authors: Nier Wang, Zhanming Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
short term load forecasting
BES
variational modal decomposition
CNN-Bi-LSTM
error correction
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1076529/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.1076529/full

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