机译:Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling
Ping Ding Shan Univ, Coll Math & Informat Sci, Ping Ding Shan 467000, Peoples R China;
Asia Eastern Univ Sci & Technol, Dept Informat Management, New Taipei 220303, Taiwan;
Jiangsu Normal Univ, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China;
Support vector regression (SVR); Grey catastrophe (GC); Random forest (RF); Short term load forecasting;