• DocumentCode
    2515992
  • Title

    Application of fuzzy logic technology for spatial load forecasting

  • Author

    Chow, Mo-Yuen ; Tram, Hahn

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    1996
  • fDate
    15-20 Sep 1996
  • Firstpage
    608
  • Lastpage
    614
  • Abstract
    Utilities are required to provide reliable power to customers. In the design stages, utilities need to plan ahead for anticipated future load growth under different possible scenarios. Their decisions and designs can affect the gain or loss of millions of dollars for their companies as well as customer satisfaction and future economic growth in their territory. This paper proposes and describes the general methodology to use fuzzy logic to fuse the available information for spatial load forecasting. The proposed scheme can provide distribution planners other alternatives to aggregate their information for spatial load forecasting
  • Keywords
    distribution networks; fuzzy logic; geographic information systems; inference mechanisms; load forecasting; power system analysis computing; power system planning; anticipated future load growth planning; future economic growth; fuzzy logic technology; geographic information system; inference; information technology; land-usage; spatial load forecasting; urban development; Costs; Customer satisfaction; Distributed computing; Economic forecasting; Fuzzy logic; Geographic Information Systems; Load forecasting; Power generation economics; Power system planning; Power system reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference, 1996. Proceedings., 1996 IEEE
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-7803-3522-8
  • Type

    conf

  • DOI
    10.1109/TDC.1996.547580
  • Filename
    547580