• DocumentCode
    2615220
  • Title

    Application Wavelet for Middle Term Demand Forecasting

  • Author

    Thi, Ng.Q. ; Dung, Tr.A. ; Binh, Ph.Th.Th. ; Khoa, Tr.Q.D.

  • fYear
    2005
  • fDate
    2005
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Middle term demand forecasting is necessary problem for power distribution planning. For some reasons, some times the forecasted values such as GDP, climate factors and other social-economic index with the acceptable accuracy that are used for multi regression forecasting model are not available. So the forecasting model has to be build basing on the time series of annual electric consumptions. In this paper we tried to use the wavelet technique after analyzing the data. The application of wavelet is effective for forecasting if the origin data are transformed into necessary form. The influence of number of wavelet and embedded dimension is also carried out in this paper
  • Keywords
    load forecasting; power consumption; power distribution planning; time series; wavelet transforms; demand forecasting; electric consumption; embedded dimension; multi regression forecasting model; power distribution planning; time series; wavelet technique; Artificial intelligence; Cities and towns; Data analysis; Demand forecasting; Economic indicators; Load forecasting; Neural networks; Power distribution; Predictive models; Wavelet analysis; Wavelet; embedded dimension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
  • Conference_Location
    Dalian
  • Print_ISBN
    0-7803-9114-4
  • Type

    conf

  • DOI
    10.1109/TDC.2005.1547011
  • Filename
    1547011