A 5-day wind speed & power forecasts using a layer recurrent neural network (LRNN)

Sustainable Energy Technologies and Assessments

Volumn 6, Issue , 2014, Pages 1-24

  Olaofe, Zaccheus O ^a  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

Author keywords

Layer recurrent neural network (LRNN); Paarl station; Symmetric mean absolute percentage error (sMAPE); Synthetic data; Wind forecasts

Indexed keywords

LAYER RECURRENT NEURAL NETWORK (LRNN); MEAN ABSOLUTE PERCENTAGE ERROR; PAARL STATION; SYNTHETIC DATA; WIND FORECASTS;

ELECTRIC GENERATORS; RECURRENT NEURAL NETWORKS; WEATHER FORECASTING;

WIND;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; ELECTRICITY GENERATION; POWER GENERATION; WEATHER FORECASTING; WIND POWER; WIND TURBINE; WIND VELOCITY;

PAARL; SOUTH AFRICA; WESTERN CAPE;

EID: 84891696241     PISSN: 22131388     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.seta.2013.12.001     Document Type: Article

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