Meta-reservoir computing for learning a time series predictive model of wind power

Meta-reservoir computing for learning a time series predictive model of wind power

Wind energy has become an essential part of the energy power source of current power systems since it is eco-friendly and sustainable. To optimize the operations of wind farms with the constraint of satisfying the power demand, it is critical to provide accurate predictions of wind power generated i...

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Bibliographic Details
Main Authors:	Li Zhang, Han-Xiao Ai, Ya-Xin Li, Li-Xin Xiao, Cao Dong
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-01-01
Series:	Frontiers in Energy Research
Subjects:	meta-learning deep learning model wind power prediction accuracy time series data reservoir computing
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2023.1321917/full

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