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平滑系数优化的季节性指数平滑法 被引量:3

Seasonal Exponential Smooth Method of Optimizing Smooth Coefficients
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摘要 本文给出了一种基于单纯形法对平滑系数寻优的季节性指数平滑法,依据这一方法进行预测,总体残差大大降低,精度明显提高。文中通过某电力系统负荷预测结果表明,采用单纯形法对平滑系数寻优比采用经验数据预测的百分比误差降低两倍多。 This Paper gives a seasonal exponent smooth method in which the smo- oth coefficents are optimalized Algorithms being used in the Predication, the total variance is decreased and the precision is increased.In this pa- per the results of predicating the toads in some electrical system show that the percentage of the errors of optimizing the smooth coefficients by using the simple-type method is over two times less than by using the experimental predication.
出处 《太原工业大学学报》 1989年第2期71-75,共5页
关键词 负荷预测 季节平滑关系 优化 seasonal exponential smooth optimize predicate the loads
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同被引文献19

  • 1赵大同.利用灰色模型预测用电量和用电负荷[J].华东电力,1994,22(10):26-28. 被引量:4
  • 2[1]A.Papalexopoulos,T.Hesterburg,Aregression-based approach to shortterm load forecasting[J] IEEE Transactions on Power Systems,1990,5(40):1535-1547.
  • 3[3]Shyh Jier Huang.Short-Term Load Forecasting Via ARMA Model Identification Including Non-Gaussian Process Considerations[J].IEEE Transactions on Power Systems,2003,18(2):673-679.
  • 4[5]Al-Hamadi H M,Soliman S A.Shortterm electric load forecasting based on Kalinan filtering algorithm with moving windows weather and load model[J].Electric Power Systems Research,2004,(68):47-59.
  • 5[6]Jwo,W.-S.Liu,C.W.Liu,C.-C.Hsiao.Hybrid expert system and simulated annealing approach to optimal reactive.power planning[J]IEE Proceedings,Generation,Transmission and Distribution,1995,142(4):381-385.
  • 6A.Papalexopoulos,T.Hesterburg, Aregression-based approach to short-term load forecasting[ J ] IEEE TransactionsonPowerSystems,1990,5(40)1535-1547.
  • 7Shyh-Jier Huang.Short-Term Load Forecasting Via ARMA Model Identification Including Non-Gaus sian Process Considerations [J].IEEE Transactions on Power Systems,2003,18 ( 2 ):673-679.
  • 8AI-Hamadi H M,Soliman S A.Shortterm electric load forecasting based on Kalinan filtering algorithm with moving windows weather and load model[JlElectric Power Systems Research,2004,(68):47-59.
  • 9Jwo,W.-S.Liu,C.W.Liu,C.-C.Hsiao. Hybrid expert system and simulated annealing approach to optimal reactive power planning[ J ].IEE Proceedings, Generation, Transmission and Distribution, 1995, 142(4): 381-385.
  • 10Bo - Juen Chen, Ming - Wei Chang, Chih - Jen ]in. Load forecasting using support vector Machines : a study on E UNITE competition 2001 [ J ]. IEEE Transactions on Power Systems, 2004,19 (4) :1821 -1830.

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