The Short-Term Load Forecasting Based on Grey Theory and RBF Neural Network

Interpolation method used to process the raw data, select Grey Theory and RBF (Radial Basis Function) neural network to forecast load. By comparing the accuracy of Grey Theory and RBF neural network forecasting, the results illustrate that the forecasting accuracy are satisfactory; accordingly it shows the validity and practicability of the methods.