Power Load Forecasting Model Based on Harmonic Clustering and Classification Method

摘要：

Clustering and classification are two important research areas of data mining, and classification needs prior knowledge, while clustering needs a similar measure to find its inherent characteristics from the data. In real application, the results of classification and clustering are often inconsistent. This paper defined harmonic matrix to solve this problem, and proposed a harmonic clustering-classification algorithm to make the results of classification and clustering keep high consistency. This method has been used in power system load forecasting, and the classification results obtained are more reliable.

关键词： clustering classification load forecasting

作者: Ma Junhua Lu Yansheng Dou Quansheng Jiang Ping

作者单位: College of Computer Science and Technology Huazhong University of Science and Technology Wuhan 43007 School of Computer Science and Technology Shandong Institute of Business and Technology Yantai 26400

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 2005-2008

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）