Study on long-term load forecasting of MIXSVM based on principal component analysis

This paper propose a long-term load forecasting model based on two integrated intelligent algorithms, i.e., principal component analysis(PCA) and support vector machines (SVM). At first, through the principal component analysis to find the core of the impact of load factor, and then build a mixed kernel function support vector machine prediction model to predict. The simulation results show that the new model compared with the traditional prediction model, prediction accuracy has been greatly improved and more applicable to long-term load forecasting.