• DocumentCode
    2911704
  • Title

    Short Term Load Forecasting Model in the Power System Using Ensemble of Predictors

  • Author

    Siwek, Krzysztof ; Osowski, Stanislaw

  • Author_Institution
    Warsaw Univ. of Technol., Warsaw
  • fYear
    2007
  • fDate
    1-3 May 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper present the new method of accurate prognosis of the short term load pattern for 24 hours ahead. The method uses the ensemble of neural predictors combined together by applying the blind source separation approach. Thanks to this the less accurate prognoses are not rejected but used to improve the accuracy of the final forecast. The numerical results concerning the prediction of 24-hour pattern of the load in the Polish power system have been presented and discussed in the paper.
  • Keywords
    blind source separation; load forecasting; power systems; Polish power system; blind source separation; forecast accuracy; neural predictors; predictor ensemble; short term load forecasting; Blind source separation; Load forecasting; Load modeling; Matrix decomposition; Neural networks; Paper technology; Power generation; Power system modeling; Predictive models; Source separation; blind source separation; ensemble of predictors; load forecast; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
  • Conference_Location
    Warsaw
  • ISSN
    1091-5281
  • Print_ISBN
    1-4244-0588-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2007.379284
  • Filename
    4258263
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2911704