GRNN神经网络在电力系统负荷预报中的应用

GRNN neural network in the application of power system load forecasting

为了预报电力系统负荷,采用GRNN(广义回归网络)的方法,通过GRNN神经网络和BP神经网络建立电力系统负荷预报网络模型,用MATLAB7.0仿真,达到了预测的目的。利用GRNN神经网络预测结果准确率高,避免了BP网络预测同样的数据库,算法冗长,网络预测结果不稳定的缺点,GRNN网络具有更好的预报精度。

In order to predict the load of power system,using GRNN（generalized regression neural network GRNN） method,through GRNN neural network and BP network of electric power system load forecasting network model,through MATLAB7.0 simulation,the predicted goal.The use of GRNN neural network prediction result is accurate,avoid the BP neural network to predict the same database,algorithm and lengthy,network prediction results from the instability of the defect.,GRNN network has better forecast precision.