A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms

A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms

Accurate forecasting of renewable energy generation is the foundation for all renewable energy consumption technologies. Currently, wind power forecasting techniques have become relatively mature under normal weather conditions. However, under extreme weather conditions, the difficulty of research i...

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Bibliographic Details
Main Authors:	Bo Wang, Shu Wang, Zheng Wang, Yingying Zheng, Xin Li
Format:	Article
Language:	English
Published:	AIP Publishing LLC 2025-04-01
Series:	AIP Advances
Online Access:	http://dx.doi.org/10.1063/5.0250465
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