Spatio-temporal Markov chain model for very-short-term wind power forecasting

Spatio-temporal Markov chain model for very-short-term wind power forecasting

Wind power forecasting (WPF) is crucial in helping schedule and trade wind power generation at various spatial and temporal scales. With increasing number of wind farms over a region, research focus of WPF methods has been recently moved onto exploring spatial correlation among wind farms to benefit...

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Bibliographic Details
Main Authors: Yongning Zhao, Lin Ye, Zheng Wang, Linlin Wu, Bingxu Zhai, Haibo Lan, Shihui Yang
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:The Journal of Engineering
Subjects:
markov processes
wind power plants
power generation scheduling
multiple spatio-temporal markov chains
target wind farm
spatio-temporal wpf methods
spatio-temporal markov chain model
very-short-term wind power forecasting
regional wind farms
forecasting model
reference wind farms
wind power generation
off-site reference information
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9294

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9294

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