Monthly Load Forecasting Based on General Regression Neural Network

After studying the characteristic of monthly history load, the paper point out monthly load is possessed of the property of increase trend and seasonal fluctuation simultaneously,so its behavior appears as the characteristic of complex non-linearity.The paper presents the basics of a general re- gression neural network (GRNN), use the horizontal and vertical history data as input of GRNN, building the monthly load forecasting model, apply GRNN to monthly load forecast.The forecasting results shows GRNN is more accurate than back propagation (BP).