• DocumentCode
    1454042
  • Title

    Methodology for weekly load forecasting

  • Author

    Barakat, E.H. ; Al-Qasem, J.M.

  • Author_Institution
    Saudi Consolidated Electr. Co., Al Riyadh, Saudi Arabia
  • Volume
    13
  • Issue
    4
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1548
  • Lastpage
    1555
  • Abstract
    In this paper, a new modeling approach for long range weekly load forecasting is described. Performance of the proposed methodology is verified with simulations of actual data pertaining to the Riyadh fast developing power system operating in the central part of Saudi Arabia. Validity of the methodology is demonstrated by comparing the forecasts obtained from this approach with corresponding ones produced by established time series methods. Sensitivity of the demand forecast to changes in some variables is also discussed
  • Keywords
    load forecasting; power system planning; Saudi Arabia; long range weekly load forecasts; modeling approach; prediction performance; time series methods; variable changes sensitivity; weekly power system load forecasting methodology; Cooling; Load forecasting; Load modeling; Power system modeling; Power system simulation; Predictive models; Scattering; Space heating; Temperature; Weather forecasting;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.736304
  • Filename
    736304