2017
DOI: 10.12783/dteees/edep2017/15527
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Wind Power Forecasting Algorithm Based on Similarity of Multivariate Time Series

Abstract: Abstract. An accurate prediction of wind power plants has great significance to the power leveling and stability of a power grid. While the electricity market gradually introducing competition mechanism, it could maximize the growth of economic benefits for electricity companies. From a complex system's point of view, this paper introduces the forecasting of wind power by considering the power generation of wind plants as a black box system, using weighted average and analysis of the historical time series sim… Show more

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