A runoff-based hydroelectricity prediction method based on meteorological similar days and XGBoost model

This paper proposes a runoff-based hydroelectricity prediction method based on meteorological similar days and XGBoost model. Accurately predicting the hydroelectricity supply and demand is critical for conserving resources, ensuring power supply, and mitigating the impact of natural disasters. To a...

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Auteurs principaux:	Yang Wu, Yigong Xie, Fengjiao Xu, Xinchun Zhu, Shuangquan Liu
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-02-01
Collection:	Frontiers in Energy Research
Sujets:	hydroelectricity prediction meteorological similar days XGBoost model runoff-based hydroelectricity distributed
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fenrg.2023.1273805/full
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