Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer.

Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer.

Wind energy, as a kind of environmentally friendly renewable energy, has attracted a lot of attention in recent decades. However, the security and stability of the power system is potentially affected by large-scale wind power grid due to the randomness and intermittence of wind speed. Therefore, ac...

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Bibliographic Details
Main Authors:	Wang Xinxin, Shen Xiaopan, Ai Xueyi, Li Shijia
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2023-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0289161

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