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《Electrical Automation》 2015-01
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Summary of Research on the Short-term Load Forecasting Method of the Electric Power System

WANG Hui-zhong;ZHOU Jia;LIU Ke;College of Electrical and Information Engineering of Lanzhou University of Technology;Gansu Key Laboratory for Advanced Control of Industrial Processes;  
Through the study of the status quo at home and abroad,this paper outlines the characteristics of short-term load forecasting and factors affecting the prediction precision,systematically expounds the intelligent methods of short-term load forecasting in the electric power system,and analyzes and compares the advantages and disadvantages of various methods. The result of the study has shown that combination optimization is the development trend for short-term load forecasting in the electric power system.
【Fund】: 国家自然基金资助项目(50967001);; 甘肃省自然基金1308RJZA117
【CateGory Index】: TM715
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