Grid Load Forecasting Based on Least Squares Support Vector Machine

An algorithm for grid load forecasting based on wavelet analysis and least squares support vector machine,was introduced.Begin with discussion of decomposition of serial signal of grid load and then get the forecasts of each sub-signals by LS-SVM.The third step is combination of these forecasts.This method was successfully achieved on forecasting of memory load.The experiment result shows that it can get better forecasting accuracy to traditional wavelet neural network in short-term load forecasting.