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基于神经网络的电力系统短期负荷预测
引用本文:秦桂芳,伍世胜.基于神经网络的电力系统短期负荷预测[J].电气开关,2011,49(2):37-39,43.
作者姓名:秦桂芳  伍世胜
作者单位:崇左供电局变电管理所,广西,钦州,532200
摘    要:电力系统短期负荷预测是电力生产部门的重要工作之一,利用BP神经网络进行电力系统短期负荷预测时,根据影响因素确定了模型构成,并对输入变量选择进行了讨论,典型算例的计算表明该方法是有效的.

关 键 词:电力系统  短期负荷预测  BP神经网络

Short-Term Load Forecast of the Power System Based on the Artificial Neural Network
QIN Gui-fang,WU Shi-sheng.Short-Term Load Forecast of the Power System Based on the Artificial Neural Network[J].Electric Switchgear,2011,49(2):37-39,43.
Authors:QIN Gui-fang  WU Shi-sheng
Affiliation:(Chongzuo Power Supply Bureau,Qinzhou 532200,China)
Abstract:Short-term load forecast of dthe electric systems is one of the important work for an electricity generation department.When BP artificial neural network is used to carry out the short-term load forecast of the electric power system,determine the model form according to the influencing factor and discuss input variable selection.The typical example shows that the method is effective.
Keywords:electric power system  short-term load forecast  BP artificial neural network
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