刘 畅,刘天琪,陈振寰,王福军,何 川,关铁英.基于KPCA和BP神经网络的短期负荷预测[J].电测与仪表,2016,53(10):. Liu Chang,Liu Tianqi,Chen Zhenhuan,Wang Fujun,He Chuan,Guan Tieying.Short-Term Power Load Forecasting Based on Kernel Principal Component Analysis and BP Neural Network[J].Electrical Measurement & Instrumentation,2016,53(10):.
基于KPCA和BP神经网络的短期负荷预测
Short-Term Power Load Forecasting Based on Kernel Principal Component Analysis and BP Neural Network
A method for short-term load forecasting based on kernel principal component analysis and BP neural network is proposed .Firstly, original input variables of neural network were got fully considering the load factors. Then, the dimension of original input variables was reduced by Kernel Principal Component Analysis method to get input variables of neural network. Finally, improved training algorithm of neural network was established to predict the load for every moment. Load of a region in Gansu Province in 2014 was forecasted by using the proposed method in the paper. Comparison with other two methods shows that the method in the paper can improve the accuracy of load forecasting.
