Correlation analysis of factors affecting wind power based on machine learning and Shapley value

Abstract An analysis of the impact of various factors on wind power can help grid dispatchers understand the characteristics of wind power output and improve the accuracy of wind power forecasting. A correlation analysis method of factors affecting wind power is proposed based on machine learning an...

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Bibliographic Details
Main Authors: Chuanjun Pang, Jianming Yu, Yan Liu
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Energy Systems Integration
Subjects:
Online Access:https://doi.org/10.1049/esi2.12022