• DocumentCode
    3469511
  • Title

    Price forecasting in deregulated electricity markets - a bibliographical survey

  • Author

    Daneshi, H. ; Daneshi, A.

  • Author_Institution
    LCG Consulting Eng., Los Altos, CA
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    657
  • Lastpage
    661
  • Abstract
    In electricity markets, short-term price forecasting plays a vital role in the daily scheduling of generating assets and the estimation of market competitors´ payoff. The volatility of electricity market and its uncertain behavior in constrained networks could make it cumbersome to forecast the hourly price of electricity based on conventional methods. This paper gives a bibliographical survey, a brief review and general background of different approaches and developments in the field of price forecasting. We provide an overview of published literature on this topic, highlighting common futures and drawing out some important aspects of the methodology used.
  • Keywords
    load forecasting; power generation economics; power generation scheduling; power markets; pricing; electricity market deregulation; generating asset scheduling; price forecasting; Costs; Economic forecasting; Electricity supply industry; Electricity supply industry deregulation; Load forecasting; Power generation; Power system modeling; Power system simulation; Power systems; Predictive models; artificial neural network; electricity price forecasting; fuzzy logic; intelligent systems; load forecasting; regression method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523487
  • Filename
    4523487