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
Link To Document :
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