Wind power forecasting based on SCINet, reversible instance normalization, and knowledge distillation

Wind energy plays a crucial role as a clean energy source in the electricity system. The unpredictability of wind power makes it more challenging to put into use in comparison to thermal power generation. Accurate wind power prediction algorithms are of great importance for allocation and deployment...

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Veröffentlicht in:	Journal of renewable and sustainable energy 2023-09, Vol.15 (5)
Hauptverfasser:	Gong, Mingju, Li, Wenxiang, Yan, Changcheng, Liu, Yan, Li, Sheng, Zhao, Zhixuan, Xu, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clean energy Distillation Forecasting Mathematical models Source code Time series Wind power generation
Online-Zugang:	Volltext
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