Literature review on the applications of data mining in power systems

Maryam Kazerooni, Hao Zhu, Thomas J. Overbye

Research output: Contribution to conferencePaper

Abstract

Power system is a highly interconnected network which delivers electric power to the electricity users. Sustaining the secure and reliable delivery of electric power requires continuous monitoring of the system. To process the large volumes of data obtained from the measuring devices, it is essential to investigate effective data enhancement techniques. In this paper, a comprehensive study on the applications of data mining in power systems is presented. Data visualization, clustering, outliers detection and classification are investigated as four major areas of data mining and related works in power systems which utilize each of these methods are presented in an organized and structured fashion.

Original languageEnglish (US)
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Power and Energy Conference at Illinois, PECI 2014 - Champaign, IL, United States
Duration: Feb 28 2014Mar 1 2014

Other

Other2014 IEEE Power and Energy Conference at Illinois, PECI 2014
CountryUnited States
CityChampaign, IL
Period2/28/143/1/14

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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