Support vector machine with PSO algorithm in short-term load forecasting

Support vector machines (SVM) have been successfully employed to solve nonlinear regression and time series problem. In this paper SVM and particle swarm optimization (PSO) have been employed to forecast electricity load. PSO algorithm was employed to choose the parameters of a SVM. Subsequently, examples of electricity load data from Shandong electric company were used to illustrate the proposed method. The result reveal that the proposed method was effective.