• DocumentCode
    753483
  • Title

    ARIMA models to predict next-day electricity prices

  • Author

    Contreras, Javier ; Espínola, Rosario ; Nogales, Francisco J. ; Conejo, Antonio J.

  • Author_Institution
    E.T.S. de Ingenicros Industriales, Univ. de Castilla-La Mancha, Ciudad Real, Spain
  • Volume
    18
  • Issue
    3
  • fYear
    2003
  • Firstpage
    1014
  • Lastpage
    1020
  • Abstract
    Price forecasting is becoming increasingly relevant to producers and consumers in the new competitive electric power markets. Both for spot markets and long-term contracts, price forecasts are necessary to develop bidding strategies or negotiation skills in order to maximize benefit. This paper provides a method to predict next-day electricity prices based on the ARIMA methodology. ARIMA techniques are used to analyze time series and, in the past, have been mainly used for load forecasting, due to their accuracy and mathematical soundness. A detailed explanation of the aforementioned ARIMA models and results from mainland Spain and Californian markets are presented.
  • Keywords
    costing; power markets; power system economics; time series; ARIMA models; California; Spain; bidding strategies; competitive electric power markets; electricity price forecasting; long-term contracts; mathematical soundness; negotiation skills; next-day electricity prices prediction; spot markets; time series; Artificial neural networks; Contracts; Economic forecasting; Electricity supply industry; Energy consumption; Instruments; Load forecasting; Power system modeling; Predictive models; Time series analysis;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.804943
  • Filename
    1216141