• DocumentCode
    3091932
  • Title

    Short term wind power forecasting using hybrid intelligent systems

  • Author

    Negnevitsky, M. ; Johnson, P. ; Santoso, S.

  • Author_Institution
    Univ. of Tasmania, Hobart, TAS
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This panel paper summarizes the current trends in wind power development and describes a proposed approach for short term wind power forecasting using a hybrid intelligent system.
  • Keywords
    load forecasting; power engineering computing; wind power plants; hybrid intelligent systems; short term wind power forecasting; wind power development; Economic forecasting; Hybrid intelligent systems; Power generation economics; Power system planning; Power system security; Renewable energy resources; Wind energy; Wind energy generation; Wind forecasting; Wind power generation; intelligent systems; short term forecasting; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385453
  • Filename
    4275335
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3091932