BP神经网络在电力系统短期负荷预测中的应用

The Application of BP Artificial Neural Network in Short-Term Load Forecasting System

电力系统短期负荷预测是电力生产部门的重要工作之一,本文利用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 forecasting is an important task in production of electric energy. In this paper, BP artificial neural network is applied in the short- term load forecasting. The load forecasting models are constructed according to load and the selection of input variables is discussed. The result of typical calculation example shows that the presented method is effective.