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