Some improvements of wind speed Markov chain modeling

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

16 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)52-56
Journal / PublicationRenewable Energy
Volume81
StatePublished - 1 Sep 2015

Abstract

In this study, the traditional Markov chain method for wind speed modeling is analyzed and two improvements are introduced. New states categorization step and wind speeds simulation step are presented. They both take advantage of the empirical cumulative distribution function of the wind speed time series. Performances of the new method are tested in terms of modeling and short-term forecasting. The results suggest that this method overperforms the traditional one for modeling.

Research Area(s)

  • Forecasting model, Markov chains modeling method, Wind speed

Citation Format(s)

Some improvements of wind speed Markov chain modeling. / Tang, Jie; Brouste, Alexandre; Tsui, Kwok Leung.

In: Renewable Energy, Vol. 81, 01.09.2015, p. 52-56.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review