Wind power forecast based on variational mode decomposition and long short term memory attention network

Wind power forecast is becoming more and more important as the ever-increasing penetration of renewable energies brings uncertainties to the power systems. Although the numerical weather prediction (NWP) has already been widely applied on wind power forecast, it involves high computational burden wi...

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Bibliographic Details
Main Authors: Xiao Zhou, Chengxi Liu, Yongjian Luo, Baoying Wu, Nan Dong, Tianying Xiao, Haojun Zhu
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201602X