• DocumentCode
    3597727
  • Title

    Load Forecast for System Operation In Peak Load Period

  • Author

    Jin, Liu ; Jilai, Yu ; Zhuo, Liu

  • Author_Institution
    Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
  • fYear
    2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Peak load forecast may serve as a preparation for the system operation in peak load period. Because the steep rise information in the forepart of peak load curve is liable to be lost during forecasting processes, we propose a strategy to preserve slope information of the forepart of peak load curve on the basis of analyzing peak characteristics. In order to improve the predicting forecasting accuracy in the steep rise section, we present a forecasting method for system operation by means of the proposed strategy and robust regression method as well as pattern recognition technique. The validity of the proposed method is shown by the simulation results to actual power system in China.
  • Keywords
    load forecasting; pattern recognition; regression analysis; pattern recognition; peak load curve; peak load forecasting; preservation information; steep rise information; system operation; Accuracy; Information analysis; Load forecasting; Pattern analysis; Pattern recognition; Power system analysis computing; Power system planning; Power system security; Power system simulation; Robustness; Load forecast; Operation pattern; Peak load; Preservation information; Robust regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.386272
  • Filename
    4276038