• DocumentCode
    3642295
  • Title

    Electricity price forecasting — ARIMA model approach

  • Author

    Tina Jakaša;Ivan Andročec;Petar Sprčić

  • Author_Institution
    Hrvatska elektroprivreda Ulica grada Vukovara 37, Zagreb, Croatia
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    222
  • Lastpage
    225
  • Abstract
    Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers and buyers playing roles in electricity market. Price is also a very important element in investment planning process. This paper presents a forecasting technique to model day-ahead spot price using well known ARIMA model to analyze and forecast time series. The model is applied to time series consisting of day-ahead electricity prices from EPEX power exchange.
  • Keywords
    "Predictive models","Electricity","Time series analysis","Forecasting","Data models","Additives","Electricity supply industry"
  • Publisher
    ieee
  • Conference_Titel
    Energy Market (EEM), 2011 8th International Conference on the European
  • Print_ISBN
    978-1-61284-285-1
  • Type

    conf

  • DOI
    10.1109/EEM.2011.5953012
  • Filename
    5953012