• DocumentCode
    135361
  • Title

    A novel load profiling method for detecting abnormalities of electricity customer

  • Author

    Gang Zhou ; Wei Zhao ; Xinjie Lv ; Feng Jin ; Wenjun Yin

  • Author_Institution
    Ind. Solutions (E&U, logistics & BAO), IBM Res. - China, Beijing, China
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a novel load profiling method with the combination of firefly algorithm (FA-LP) for detecting abnormalities of electricity customer. First, a novel approach to model profile method is proposed using the load data from the similar customer in the same region. Second, the load pattern is extracted with the firefly algorithm. Third, the load data are processed differently and two matching measures are adopted according to the different focuses on the load pattern. Finally, the proposed load profiling method is applied for the real case of a power supply company.
  • Keywords
    electricity supply industry; FA-LP algorithm; abnormality detection; electricity customer; firefly algorithm; load data; load pattern; load profiling method; matching measures; power supply company; Companies; Data mining; Electricity; Inspection; Load modeling; Pattern matching; Superluminescent diodes; Detecting abnormalities; Firefly algorithm; Load profiling; Non-technical loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939307
  • Filename
    6939307