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Modelling for Power System Short-term Load Prediction Based on AWLS-SVM

ZHAO Chao;DAI Kun-cheng;School of Chemical Engineering, Fuzhou University;

Abstract: In order to eliminate the influence of unavoidable outliers in load data on model’s performance, a novel adaptive weighted least squares support vector machine（AWLS-SVM） for the power system short-term load forecasting（STLF） was proposed. Adaptive weight value for the training sample is determined according to the fitting error of each sample. Then, the particle swarm optimization（PSO） algorithm is applied to obtain the optimal parameters of the AWLS-SVM. To illustration the performance of the A... More
Keywords：

STLF; adaptive weighted; PSO; LS-SVM;

Conference Name：

第25届中国过程控制会议

Conference Time：

2014-08-09

Conference Place：

中国辽宁大连

  • Series：

    (C) Architecture/ Energy/ Traffic/ Electromechanics, etc; (I) Electronic Technology ＆ Information Science

  • Subject：

    Electric Power Industry; Automation Technology

  • Classification Code：

    TM715;TP181

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