Application of Rough Set Theory on Distribution System

摘要：

This paper introduced the feature of distribution network and rough set theory. The application in power system was elaborated, such as on load forecasting, fault diagnosis, system-state analysis and data mining. Then given an illustration that using RS attribute reduction algorithm obtain the correlative factors in distribution system load forecasting. These factors were input vector of neural network. This simplified the network structure greatly, reduced forecasting time and improved forecasting efficiency.

关键词： Rough Set Distribution Network Load Forecasting Neural network

作者: ZENG Li hua FENG Juan

作者单位: College of Mechanical and Electrical Engineering,Agricultural University of Hebei,P.R.China,071001 College of Information Science and Technology,Agricultural University of Hebei,P.R.China,071001

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 330-334

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）