• DocumentCode
    3188652
  • Title

    Method of medium-term industrial load forecasting of region

  • Author

    Yurievich, Lesnichenko Alexander

  • Author_Institution
    Electr. Power Supply Ind. Enterprises, Moscow Power Eng. Inst. (MPEI), Moscow, Russia
  • fYear
    2010
  • fDate
    18-22 Dec. 2010
  • Firstpage
    280
  • Lastpage
    283
  • Abstract
    This paper presents a new medium-term forecasting method applied to load of a particular region. This is a hybrid method based on neural networks and technocenosis theory. The theory in its turn is based on idea to regard big infrastructure objects as an entity of technical products. The main advantage of describing method is that it allows to account system constraints and dependences, and structural range of power consumers. Necessary data for analysis was collected using corporate ERP system.
  • Keywords
    load forecasting; neural nets; power engineering computing; data analysis; medium-term industrial load forecasting method; neural networks; technocenosis theory; Artificial neural networks; Companies; Forecasting; Load forecasting; Maintenance engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (EnergyCon), 2010 IEEE International
  • Conference_Location
    Manama
  • Print_ISBN
    978-1-4244-9378-4
  • Type

    conf

  • DOI
    10.1109/ENERGYCON.2010.5771691
  • Filename
    5771691