人工神经网络在电力系统短期负荷预测中的应用

根据电力系统短期负荷变化的特性，提出BP模型在实际负荷预测应用中的方法和步骤．对BP网络结构、样本空间、收敛性等作了有针对性的研究．结果表明：多层神经网络应用于电力系统短期负荷预测是可行和有效的．其预报结果比传统的负荷预测方法更准确、经济、效果更好．

Application of Artificial ANN to Short-Term Load Forecasting in Power System

Based on the characteristics of the short-term load changes of power system, this paper put forward the method and procedures of BP Model in the practical load forecasting application. Through research on BP network structure, sample space, contractibility and so on, the results showed that it was viable and effective to use multilayer ANN to forecast the short-term load of power system, and its forecasting result was more accurate, more economical and better than traditional load forecasting methods.