A novel hybrid approach based on wavelet transform and fuzzy artmap networks for predicting wind farm power production

IEEE Transactions on Industry Applications

Volumn 49, Issue 5, 2013, Pages 2253-2261

  Haque, Ashraf Ul ^a   Mandal, Paras ^a   Meng, Julian ^b   Srivastava, Anurag K ^c   Tseng, Tzu Liang ^d   Senjyu, Tomonobu ^e  

^a Montana State University   (United States)

^b University of Texas at El Paso   (United States)

^c UNIVERSITY OF NEW BRUNSWICK   (Canada)

^d Washington State University   (United States)

^e UNIVERSITY OF THE RYUKYUS   (Japan)

Author keywords

Fuzzy ARTMAP (FA); soft computing models (SCMs); wavelet transform (WT); wind farm power forecast

Indexed keywords

FORECASTING ERROR; FUZZY ARTMAP; FUZZY-ARTMAP NETWORKS; HYBRID INTELLIGENT ALGORITHMS; METEOROLOGICAL INFORMATION; POWER FORECAST; PREDICTION CAPABILITY; SOFT COMPUTING MODELS;

ELECTRIC UTILITIES; SOFT COMPUTING; WAVELET TRANSFORMS; WIND POWER;

WEATHER FORECASTING;

EID: 84884576727     PISSN: 00939994     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIA.2013.2262452     Document Type: Article

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