• DocumentCode
    3092164
  • Title

    Time series methods for forecasting electricity market pricing

  • Author

    Obradovic, Zoran ; Tomsovic, Kevin

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1264
  • Abstract
    The objective of this work is to gain understanding of interactions between the predictability of electricity price under new market regulations and the engineering aspects of large scale electric power systems. There are numerous practical difficulties in allowing financial mechanisms to direct investments and operations for the generation and distribution of electricity. The electric commodity must be generated, distributed and consumed in real-time under strict physical laws and extremely high reliability requirements. This process is far more exacting and complex then the distribution of traditional commodities, such as oil or agricultural products. Clearly, assessing the effectiveness of deregulated markets is of extreme importance
  • Keywords
    costing; electricity supply industry; power system economics; tariffs; time series; deregulated electricity markets; electric commodity; electricity market pricing forecasting; electricity price predictability; financial mechanisms; large scale electric power systems; market regulations; reliability requirements; time series methods; Distributed power generation; Economic forecasting; Electricity supply industry; Investments; Large-scale systems; Power engineering and energy; Power generation; Power system reliability; Pricing; Reliability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 1999. IEEE
  • Conference_Location
    Edmonton, Alta.
  • Print_ISBN
    0-7803-5569-5
  • Type

    conf

  • DOI
    10.1109/PESS.1999.787501
  • Filename
    787501