A Markov Regime Switching Model for Ultra-Short-Term Wind Power Prediction Based on Toeplitz Inverse Covariance Clustering
The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical operation of the power system. It is also the foundation of the intraday and real-time electricity marke...
Main Authors: | Hang Fan, Xuemin Zhang, Shengwei Mei, Junzi Zhang |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-03-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.638797/full |
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