• DocumentCode
    1864186
  • Title

    Application of data mining in intelligent power consumption

  • Author

    Jia, N. ; Wang, J.S. ; Li, Ning

  • Author_Institution
    Guodiantong Corporation, Beijing, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    538
  • Lastpage
    541
  • Abstract
    In this paper, the key technologies of data mining are firstly studied detailedly, and huge data of intelligent power consumption are transformed into valued knowledge which applies advanced data mining technology based on the huge data. It focuses on the application in the intelligent power consumption field, and the applications, such as classification of power customers, analysis of power consumption of intelligent appliance, analysis of abnormal family electricity consumption and so on, which are realized by clustering algorithm, correlation analysis algorithm and outlier analysis algorithm. The analysis results can lead power consumers to use electricity rationally, and provide decision support for power companies.
  • Keywords
    clustering algorithm; correlation analysis; data mining; intelligent power consumption; outlier analysis;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1035
  • Filename
    6492642