Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM

Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM

Due to the intermittent and fluctuating nature of wind power generation, it is difficult to achieve the desired prediction accuracy for wind power prediction. For this reason, this paper proposes a combined prediction model based on the Pearson correlation coefficient method, multivariate variationa...

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Bibliographic Details
Main Authors:	Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai
Format:	Article
Language:	English
Published:	Wiley 2025-01-01
Series:	International Transactions on Electrical Energy Systems
Online Access:	http://dx.doi.org/10.1155/etep/3570731
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