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The Ultra-short Term Prediction of Wind Power Based on Chaotic Time Series.

Authors :
Gangui, Yan
Yu, Liu
Gang, Mu
Yang, Cui
Junhui, Li
Jigang, Liu
Lei, Meng
Source :
Energy Procedia; Apr2012 Part B, Vol. 17, p1490-1496, 7p
Publication Year :
2012

Abstract

Abstract: In this paper, we propose a method to predict ultra-short term wind power production with chaotic time series. Through analysis of the data measured from real wind farm, the ultra-short term prediction model of wind power is established based on the space theory of chaotic time series phase. The wind power of a real wind farm in northeast China in some future time including 15 m, 30 m and 1h are predicted by the prediction model finally. Test results are presented in the paper. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
18766102
Volume :
17
Database :
Supplemental Index
Journal :
Energy Procedia
Publication Type :
Academic Journal
Accession number :
74679152
Full Text :
https://doi.org/10.1016/j.egypro.2012.02.271