人工神经网络原理在中期电力负荷预报中的应用

Application of Artificial Neural Network to Medium-term Electric Load Forecasting

本文应用人工神经网络（ＡＮＮ）的学习、训练原理。以年工农业产值等相关因素对年用电量进行了中期预报。对所采用的ＢＰ网络的主要参数作了比较计算和优化调整。

In this paper. the medium-term electric load is forecasted by using an Artificial Neural Network. The main Parameters of the network have been compared and adjusted. and the result of the forecasting obtained is satisfactory.