State-of-the-art overview on data mining in power systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents an overview on applications of data mining to power systems. DM plays an important role to extract rules or knowledge through database. Power systems have complicated characteristics due to the nonlinearity. To grasp the nonlinear relationship between input and output variables, the data mining techniques help power system operators to smooth power system operation and planning. In this paper, they are overviewed from a standpoint of methodologies and applications.

Original languageEnglish
Title of host publication2006 IEEE Power Engineering Society General Meeting, PES
Publication statusPublished - 1 Dec 2006
Event2006 IEEE Power Engineering Society General Meeting, PES - Montreal, QC, Canada
Duration: 18 Jun 200622 Jun 2006

Publication series

Name2006 IEEE Power Engineering Society General Meeting, PES

Conference

Conference2006 IEEE Power Engineering Society General Meeting, PES
CountryCanada
CityMontreal, QC
Period18/06/0622/06/06

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Keywords

  • Artificial intelligence
  • Clustering methods
  • Database management
  • Knowledge acquisition
  • Learning systems
  • Neural network applications

Cite this

Mori, H. (2006). State-of-the-art overview on data mining in power systems. In 2006 IEEE Power Engineering Society General Meeting, PES [1709104] (2006 IEEE Power Engineering Society General Meeting, PES).