• DocumentCode
    1174267
  • Title

    Artificial Intelligence and Advanced Mathematical Tools for Power Quality Applications: A Survey

  • Author

    Anis Ibrahim, W. R. ; Morcos, M. M.

  • Author_Institution
    Kansas State University
  • Volume
    21
  • Issue
    11
  • fYear
    2001
  • Firstpage
    62
  • Lastpage
    62
  • Abstract
    Increasing interest in power quality has evolved in the past decade. This article surveys the literature for current applications of advanced artificial intelligence techniques in power quality. Applications of some advanced mathematical tools in general, and wavelet transform in particular, in power quality are also reviewed. An extensive collection of literature covering applications of fuzzy logic, expert systems, neural networks, and genetic algorithms in power quality is included. Literature exposing the use of wavelets in power quality analysis as well as data compression is also cited.
  • Keywords
    Artificial intelligence; Data compression; Discrete wavelet transforms; Filters; Fuel cells; Induction motors; Power quality; Stability; Voltage fluctuations; Wavelet packets; Power quality; artificial intelligence; data compression; expert systems; fuzzy logic; genetic algorithms; neural networks; wavelets;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2001.4311181
  • Filename
    4311181