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《Journal of Shanghai University of Electric Power》 2011-01
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Improved BP Network and Its Application for Short-term Load Forecasting

MI YANG,ZHU Wang-qing,LI Zheng-hui (School of Electric Power and Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)  
An improved BP neural network learning algorithm is applied to short-term load forecasting based on the response function output limiting and adaptive measures to improve the precision and efficiency of the neural network.The simulation result shows the validity of the improvement measures,which can achieve the satisfactory forecasting result.
【Fund】: 上海市自然科学基金(09ZR1413200)
【CateGory Index】: TM715;TP183
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