Wind speed forecast model for wind farm based on a hybrid machine learning algorithm

International Journal of Sustainable Energy

Volumn 34, Issue 1, 2015, Pages 38-51

  Haque, Ashraf Ul ^a   Mandal, Paras ^b   Meng, Julian ^c   Negnevitsky, Michael ^d  

^a Montana State University   (United States)

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

^c UNIVERSITY OF NEW BRUNSWICK   (Canada)

^d UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Fuzzy ARTMAP network; machine learning algorithm; short term wind speed forecasting; wavelet transform

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRIC UTILITIES; FORECASTING; LEARNING SYSTEMS; SOFT COMPUTING; SPEED; WAVELET TRANSFORMS; WIND; WIND POWER;

FORECASTING ERROR; FUZZY-ARTMAP NETWORKS; HYBRID MACHINE LEARNING; PREDICTION CAPABILITY; SHORT-TERM WIND SPEED FORECASTING; SOFT COMPUTING MODELS; WIND SPEED FORECAST; WIND SPEED FORECASTING;

LEARNING ALGORITHMS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; FORECASTING METHOD; FUZZY MATHEMATICS; MODELING; WAVELET ANALYSIS; WIND FARM; WIND POWER; WIND VELOCITY;

CANADA; PRINCE EDWARD ISLAND [CANADA];

EID: 84912004737     PISSN: 14786451     EISSN: 1478646X     Source Type: Journal    
DOI: 10.1080/14786451.2013.826224     Document Type: Article

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