Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction

Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction

Wind power generation has aroused widespread concern worldwide. Accurate prediction of wind speed is very important for the safe and economic operation of the power grid. This paper presents a short-term wind speed prediction model which includes data decomposition, deep learning, intelligent algori...

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Bibliographic Details
Main Authors: Jiawen Li, Minghao Liu, Lei Wen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Energy Research
Subjects:
wind speed prediction
data decomposition
bidirectional gated recurrent unit
salp swarm algorithm
deep extreme learning machine
error correction
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1336675/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1336675/full

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