• DocumentCode
    1902029
  • Title

    Medium-term electricity price forecasting

  • Author

    Torbaghan, Shahab Shariat ; Motamedi, Amir ; Zareipour, Hamidreza ; Tuan, Le Anh

  • Author_Institution
    Electr. Power Syst. Group, Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2012
  • fDate
    9-11 Sept. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Medium-term price forecasting plays an important role in electricity markets. Obtaining reasonably accurate medium-term electricity price predictions is critical in many applications, such as maintenance scheduling, generation expansion planning, and bilateral contracting. Medium-term price forecasting is a complex task because of the long forecasting horizon, dependence of medium-term electricity prices to various variables, and limited availability of explanatory data. In this paper, different aspects of a medium-term electricity price forecasting are discussed, and several data-driven 12-month-ahead approaches are developed. The presented approaches are applied to Nord Pool and the Ontario electricity market to examine their performance and effectiveness.
  • Keywords
    power generation economics; power generation planning; power markets; pricing; Nord Pool; Ontario electricity market; bilateral contracting; data-driven 12-month-ahead approach; forecasting horizon; generation expansion planning; maintenance scheduling; medium-term electricity price forecasting; Computational modeling; Support vector machines; Electricity markets; medium-term forecasting; price forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2012
  • Conference_Location
    Champaign, IL
  • Print_ISBN
    978-1-4673-2306-2
  • Electronic_ISBN
    978-1-4673-2307-9
  • Type

    conf

  • DOI
    10.1109/NAPS.2012.6336424
  • Filename
    6336424