• DocumentCode
    1582438
  • Title

    An overview of forecasting problems and techniques in power systems

  • Author

    Negnevitsky, Michael ; Mandal, Paras ; Srivastava, Anurag K.

  • Author_Institution
    Sch. of Eng., Univ. of Tasmania, Hobart, TAS, Australia
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper provides an overview of forecasting problems and techniques in power system. Available forecasting techniques have been reviewed with the focus on data mining for wind power prediction. This paper also discusses forecasting issues associated with electricity price and load forecasting.
  • Keywords
    data mining; load forecasting; power markets; power system economics; wind power; data mining; electricity market; electricity price; forecasting technique problem; load forecasting; power system; wind power prediction; Artificial intelligence; Data mining; Economic forecasting; Load forecasting; Neural networks; Power system analysis computing; Power system modeling; Power systems; Wind energy; Wind forecasting; Data mining; intelligent systems; load forecasting; price forecasting; wind power prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275480
  • Filename
    5275480