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《Power System Technology》 2008-08
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Short-Term Wind Speed Forecasting Combing Time Series and Neural Network Method

CAI Kai1,TAN Lun-nong1,LI Chun-lin2,TAO Xue-feng1 (1.School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu Province,China; 2.Electric Control Sub-Co.NARI Group Corporation,Nanjing 210003,Jiangsu Province,China)  
By use of time series and neural network the short-term wind speed forecasting is researched in which the time series model is used to select the input variables and multi-layer back propagation neural network and generalized regression neural network are used to conduct forecasting. The wind speed series are forecasted by sampling time interval of 10min,20min and 30min respectively. Forecasting results show that the method integrating time series with generalized regression neural network possesses higher accuracy and is of a certain practical value.
【CateGory Index】: TM614;TP183
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