Short-horizon prediction of wind power: A data-driven approach

IEEE Transactions on Energy Conversion

Volumn 25, Issue 4, 2010, Pages 1112-1122

  Kusiak, Andrew ^a   Zhang, Zijun ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

Data mining; evolutionary strategy (ES) algorithm; exponential smoothing; neural networks (NNs); power prediction; time series model; wind speed prediction

Indexed keywords

EVOLUTIONARY STRATEGIES; EXPONENTIAL SMOOTHING; POWER PREDICTIONS; TIME SERIES MODELS; WIND SPEED PREDICTION;

DATA MINING; ELECTRIC UTILITIES; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; WIND EFFECTS; WIND POWER;

FORECASTING;

EID: 78649936397     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2010.2043436     Document Type: Article

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