Artificial neural network enhanced by gap statistic algorithm applied for bad data detection of a power system

Shyh Jier Huang, Jeu Min Lin

研究成果: Paper同行評審

7 引文 斯高帕斯(Scopus)

摘要

In this paper, a gap statistic algorithm (GSA) is applied for the bad data analysis. In the method, GSA is employed for the enhancement of neural networks. Because the number of cluster can be determined via GSA more effectively, this integrated approach is beneficial for the localization of the group of bad data. The proposed approach was validated through the data collected from the operation of a power system. Test results pointed to the feasibility of the method for the applications considered.

原文English
頁面764-768
頁數5
出版狀態Published - 2002 12月 1
事件IEEE/PES Transmission and Distribution Conference and Exhibition 2002 : Asia Pacific - Yokahama, Japan
持續時間: 2002 10月 62002 10月 10

Other

OtherIEEE/PES Transmission and Distribution Conference and Exhibition 2002 : Asia Pacific
國家/地區Japan
城市Yokahama
期間02-10-0602-10-10

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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