Research on Analytical Methods of Electric Load Based on Data Mining

摘要：

In the thesis, an analytical method of electric load based on data mining is presented. To know the regularity of load changes, periodicity of load is discussed by analyzing historic load data. Data mining principle is adopted to analyze electric load data by clustering, and load is classified effectively. This paper supplies strong theoretical basis for production plan and load forecasting in electric power system. Examples prove that the method presented has exactitude and validity.

关键词： electric power system load analysis data mining clustering

作者: Yun Lu Yinuo Huang

作者单位: School of Electrical Engineering Shenyang University of Technology Shenyang, China College of Electrical Engineering Zhejiang University Hangzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2255-2258

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）