• DocumentCode
    3614882
  • Title

    Artificial neural networks in power system topology recognition

  • Author

    M. Delimar;I. Pavic;Z. Hebel

  • Author_Institution
    Dept. of Power Syst., Zagreb Univ., Croatia
  • Volume
    2
  • fYear
    2003
  • fDate
    6/25/1905 12:00:00 AM
  • Firstpage
    287
  • Abstract
    This paper presents an artificial neural network based model for identifying anomalies in the reported power system topology. The results obtained using a multilayer perceptron with backpropagation learning algorithm are presented and discussed.
  • Keywords
    "Artificial neural networks","Intelligent networks","Power systems","Network topology","Power system modeling","System testing","Switches","Multi-layer neural network","Neural networks","State estimation"
  • Publisher
    ieee
  • Conference_Titel
    EUROCON 2003. Computer as a Tool. The IEEE Region 8
  • Print_ISBN
    0-7803-7763-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2003.1248201
  • Filename
    1248201
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3614882