Combined Wind Power Prediction Method Based on CNN-LSTM&GRU with Adaptive Weights

Combined Wind Power Prediction Method Based on CNN-LSTM&GRU with Adaptive Weights

Accurate wind power prediction can improve the safety and reliability of grid operation. To further enhance the accuracy of short-term wind power prediction, this paper proposes a CNN-LSTM&GRU multi-model combined prediction method considering the difficulty in obtaining optimal prediction resul...

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Bibliographic Details
Main Authors:	Rui JIA, Guohua YANG, Haofeng ZHENG, Honghao ZHANG, Xuan LIU, Hang YU
Format:	Article
Language:	zho
Published:	State Grid Energy Research Institute 2022-05-01
Series:	Zhongguo dianli
Subjects:	short-term wind power prediction cnn-lstm gru combined prediction adaptive weight learning
Online Access:	https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104023
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