• DocumentCode
    586759
  • Title

    Load forecasting based on wavelet transform and fuzzy logic

  • Author

    Binh, P.T.T. ; Hung, N.T. ; Dung, P.Q. ; Lee-Hong Hee

  • Author_Institution
    Dept. of Electr. Electron. Eng., Hochiminh city Univ. of Technol., Ho Chi Minh City, Vietnam
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 2 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The electrical loads is the non-stationary time series. With the non-stationary time series, the wavelet technique is more effective technique for approximation. In recent year the fuzzy-wavelet is more attractive for forecasting problem. This paper presented the load curve and electricity consumption forecasting based on MODWT and fuzzy logic. For each individual wavelet sub-series, the fuzzy-rules will be determined in order to carry out the forecasting. After that, the individual wavelet sub-series forecasts are recombined to give the final result.
  • Keywords
    energy consumption; fuzzy logic; load forecasting; wavelet transforms; MODWT; electrical loads; electricity consumption forecasting; forecasting problem; fuzzy logic; fuzzy-rules; load forecasting; nonstationary time series; wavelet subseries forecasts; wavelet technique; wavelet transform; Discrete wavelet transforms; Irrigation; MODWT; cluster centers; fuzzy-rules; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2012 IEEE International Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4673-2868-5
  • Type

    conf

  • DOI
    10.1109/PowerCon.2012.6401281
  • Filename
    6401281