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。
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.
出处
《电气开关》
2011年第2期37-39,43,共4页
Electric Switchgear
关键词
电力系统
短期负荷预测
BP神经网络
electric power system
short-term load forecast
BP artificial neural network