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...
Main Authors: | Jiawen Li, Minghao Liu, Lei Wen |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-01-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1336675/full |
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