文件名称：基于BP神经网络的电力负荷系统预测
文件大小：381KB
文件格式：DOC
更新时间：2012-01-23 17:34:09
MATLAB 电力系统 BP神经网络
After studying plenty of documents, the load forecasting model which synthetically considers every kind of impact factor is created. The input load data and temperature are normalized, and weather condition variable is quantitatively transacted. The applications of the BP (Back-Propagation Network) neural network algorithm and the neural network toolbox in MATLAB 7.0*software achieve load forecasting. The experimental result shows that the prediction of neural network model is good, and the error can meet the basic requirement of the practical system.