DocumentCode :
2412585
Title :
A novel hybrid approach based on wavelet transform and fuzzy ARTMAP network for predicting wind farm power production
Author :
Haque, Ashraf Ul ; Mandal, Paras ; Meng, Julian ; Srivastava, Anurag K. ; Tseng, Tzu-Liang ; Senjyu, Tomonobu
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada
fYear :
2012
fDate :
7-11 Oct. 2012
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a novel hybrid intelligent algorithm based on the wavelet transform (WT) and fuzzy ARTMAP (FA) network for forecasting the power output of a wind farm utilizing meteorological information such as wind speed, wind direction, and temperature. The prediction capability of the proposed hybrid WT+FA model is demonstrated by an extensive comparison with a benchmark persistence method, other soft computing models (SCMs) and hybrid models as well. The test results show a significant improvement in forecasting error through the application of a proposed hybrid WT+FA model. The proposed hybrid wind power forecasting strategy is applied to real life data from Kent Hill wind farm located in New Brunswick, Canada.
Keywords :
fuzzy set theory; load forecasting; neural nets; power engineering computing; wavelet transforms; wind power plants; Canada; Kent Hill wind farm; New Brunswick; fuzzy ARTMAP network; hybrid WT+FA model; hybrid approach; meteorological information; power output forecasting; soft computing models; wavelet transform; wind farm power production prediction; Artificial neural networks; Forecasting; Hybrid power systems; Predictive models; Wind forecasting; Wind power generation; Wind speed; Fuzzy ARTMAP; soft computing models; wavelet transform; wind farm power forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting (IAS), 2012 IEEE
Conference_Location :
Las Vegas, NV
ISSN :
0197-2618
Print_ISBN :
978-1-4673-0330-9
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/IAS.2012.6373989
Filename :
6373989
Link To Document :
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