• DocumentCode
    931984
  • Title

    Application of computer artificial intelligence techniques to analyzing the status of typical utility electrical power plant systems

  • Author

    Nilsson, N.E.

  • Author_Institution
    Ohio Edison Co., Akron, OH, USA
  • Volume
    4
  • Issue
    1
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A description is given of the application of artificial intelligence (AI) techniques to utility electrical power plant systems. The considerations inherent in proceeding with the deployment of AI techniques in the form of an expert system are presented, and opportunities for improvements in this application are discussed. The implementation of an expert system, Battery, for a 125 V DC battery system is examined. The final rule-based form of the system, consisting of 26 rules, is shown
  • Keywords
    artificial intelligence; expert systems; power station computer control; 125 V; AI; Battery; DC battery system; artificial intelligence; expert system; power station computer control; Application software; Artificial intelligence; Computer applications; Control systems; Expert systems; Power generation; Power generation economics; Power system modeling; Robot control; Sampling methods;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.23142
  • Filename
    23142