• DocumentCode
    1328709
  • Title

    Analytic spatial electric load forecasting methods: A survey

  • Author

    Temraz, H.K. ; Quintana, V.H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
  • Volume
    17
  • Issue
    1
  • fYear
    1992
  • Firstpage
    34
  • Lastpage
    42
  • Abstract
    In the paper, analytic spatial electric load forecasting methods are classified into two approaches: trending and multivariate. Trending approaches extrapolate load based on past values of load data. Multivariate techniques either extrapolate or simulate load based on annual small area peak load as well as other variables. Each approach is further divided into two classes. The objective of the paper is to present a comprehensive review of some of the existing methods that describe the general concept of an analytic spatial load forecast, as well as the notable merits and deficiencies associated with the various available techniques.
  • Keywords
    load forecasting; analytic spatial electric load forecasting; annual small area peak load; data analysis; load data; load growth; multivariate techniques; power system distribution planning; trending techniques; Forecasting; Geophysical measurement techniques; Ground penetrating radar; History; Load forecasting; Market research; Mathematical model;
  • fLanguage
    English
  • Journal_Title
    Electrical and Computer Engineering, Canadian Journal of
  • Publisher
    ieee
  • ISSN
    0840-8688
  • Type

    jour

  • DOI
    10.1109/CJECE.1992.6593905
  • Filename
    6593905