改进的BP神经网络方法在用电量预测中的应用

Application of Improved BP Neural Network in Forecasting Electricity Requirement

在借助BP神经网络模型的优异功能的基础上,对它的采用黑箱操作、收敛速度慢等不足之处进行了某些改进,并将该模型在广东汕头市某区用电量预测中进行了初步应用,取得了较好的效果,说明了对该模型的改进具有重要的实际意义.

This article attempted to improve its defects on the basis of superior function of BP. BP neural network model was applied to forecast the electricity requirements in a district of Shantou City, Guangdong Province and good results were obtained. It shows the improvement of the model is of great practical signiflcance.