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《Journal of Chinese Society of Power Engineering》 2011-03
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Wind Speed Prediction in Wind Farms Based on Time Series Model

YANG Xi-yun,SUN Han-mo(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)  
Based on study of long-term wind speed prediction using time series model,a new prediction scheme is proposed for engineering applications,in which the wind speed signal is first decomposed into trend signal and no-trend random signal,then the latter on is processed and compared respectively using sliding filter method and wavelet analysis method,and finally both the trend signal and previously processed signal are separately predicted and superposed so as to forecast the wind speed.Results show that both the sliding filter method and wavelet analysis method can realize long-term wind speed prediction with a high precision.Compared with wavelet method,sliding filter method is more applicable in industry,due to its less complicated algorithm.
【Fund】: 国家自然科学基金资助项目(61074094);; 教育部重点基金资助项目(109045);; 中央高校基本科研业务费专项资金资助项目(09QG30 10MG28)
【CateGory Index】: TM614
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