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SVR-Boosting ensemble model for electricity price forecasting in electric power market
Authors:ZHOU Dian-min  GAO Lin  GUAN Xiao-hong  GAO Feng
Abstract:A revised support vector regression (SVR) ensemble model based on boosting algorithm (SVR-Boos-ting) is presented in this paper for electricity price forecasting in electric power market. In the light of charac-the forecasting model to inhibit the learning from abnormal data in electricity price sequence. The results from actual data indicate that, compared with the single support vector regression model, the proposed SVR-Boosting ensemble model is able to enhance the stability of the model output remarkably, acquire higher predicting accu-racy, and possess comparatively satisfactory generalization capability.
Keywords:electricity price forecasting  support vector regression  boosting algorithm  ensemble model  gen-eralization capability
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