Wind power plant prediction by using neural networks

2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

Volumn , Issue , 2012, Pages 3154-3160

  Liu, Ziqiao ^a   Gao, Wenzhong ^a   Wan, Yih Huei ^b   Muljadi, Eduard ^b  

^a University of Denver   (United States)

^b NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

Author keywords

complex valued recurrent neural network; probabilistic neural network; wind power plant; wind power prediction

Indexed keywords

COMPLEX-VALUED RECURRENT NEURAL NETWORKS; HISTORICAL DATA; PLANT INFORMATION SYSTEMS; PREDICTION MODEL; PROBABILISTIC NEURAL NETWORKS; SHORT TERM; WIND DIRECTIONS; WIND POWER PREDICTIONS; WIND SPEED;

ENERGY CONVERSION; EXHIBITIONS; MATHEMATICAL MODELS; REACTIVE POWER; RECURRENT NEURAL NETWORKS;

WIND POWER;

EID: 84870897690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECCE.2012.6342351     Document Type: Conference Paper

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