Probabilistic solar irradiance forecasting based on XGBoost

Probabilistic solar irradiance forecasting based on XGBoost

Solar energy has received increasing attention as renewable clean energy in recent years. Power grid operators and researchers widely value probabilistic solar irradiance forecasting because it can provide uncertainty measurement for future PV production. This paper proposes a probabilistic predicti...

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Bibliographic Details
Main Authors: Xianglong Li, Longfei Ma, Ping Chen, Hui Xu, Qijing Xing, Jiahui Yan, Siyue Lu, Haohao Fan, Lei Yang, Yongqiang Cheng
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Energy Reports
Subjects:
XGBoost
Solar irradiance
Probabilistic forecasting
Kernel density estimation
Probabilistic prediction interval
Residual
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472200498X

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http://www.sciencedirect.com/science/article/pii/S235248472200498X

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