Forecasting model of residential load based on general regression neural network and PSO-Bayes least squares support vector machine |
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Authors: | HE Yong-xiu HE Hai-ying WANG Yue-jin LUO Tao School of Economics Management North China Electric Power University Beijing China |
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Affiliation: | HE Yong-xiu,HE Hai-ying,WANG Yue-jin,LUO Tao School of Economics and Management,North China Electric Power University,Beijing 102206,China |
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Abstract: | Firstly,general regression neural network(GRNN) was used for variable selection of key influencing factors of residential load(RL) forecasting.Secondly,the key influencing factors chosen by GRNN were used as the input and output terminals of urban and rural RL for simulating and learning.In addition,the suitable parameters of final model were obtained through applying the evidence theory to combine the optimization results which were calculated with the PSO method and the Bayes theory.Then,the model of PSO-... |
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Keywords: | residential load load forecasting general regression neural network(GRNN) evidence theory PSO-Bayes least squares support vector machine |
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