Application of Least Squares Support Vector Machine to Load Forecasting in Power System

Aiming at the shortcomings of subjective classification parameters of support vector machine for load forecasting,the cycle of load series is analyzed by using spectrum analysis method.And then it compares the trend of quadratic function for yearly load sequence with that of cyclic monthly load sequence.Finally,the LS-SVMlab1.5 software is applied to predict load.The results show that the degree of fitting between the measured and predicted value is good for cyclic monthly loading sequence,and the method is simple,reasonable and practical with higher prediction accuracy.