• DocumentCode
    3072073
  • Title

    ANN application for the next day peak electricity load prediction

  • Author

    Milojkovic, J. ; Litovski, I. ; Litovski, Vanco B.

  • Author_Institution
    Fac. of Electron. Eng., Univ. of Nis, Niš, Serbia
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    237
  • Lastpage
    241
  • Abstract
    One step ahead prediction of peak electricity loads based on artificial neural networks (ANN) is presented. Two architectures of ANNs were implemented to produce predictions that were used to generate the final value as an average. The time instants when daily peak loads occur are produced simultaneously. Examples will be given confirming both the feasibility of the method and the need for further elaboration of the procedure.
  • Keywords
    load forecasting; neural nets; power engineering computing; ANN application; artificial neural networks; next day peak electricity load prediction; one step ahead prediction; Artificial neural networks; Electricity; Forecasting; Load forecasting; Meteorology; Neurons; Time series analysis; Artificial neural networks; Load management; Load modeling; Prediction methods; Recurrent neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4673-1569-2
  • Type

    conf

  • DOI
    10.1109/NEUREL.2012.6420024
  • Filename
    6420024