In order to improve the accuracy of load forecasting for the demand side, this paper proposes an improved short-term load forecasting method based on demand-side load characteristics. It completes the two-segment classification for demand-side load according to the load characteristic and the attribute clustering algorithm, then establishes the forecasting model for load forecasting by using MPSO-RBF and LS-SVM. This method is used to forecast the power load of an industrial park, and is compared with the a...