Wind-speed prediction and analysis based on geological and distance variables using an artificial neural network: A case study in South Korea

Energy

Volumn 93, Issue , 2015, Pages 1296-1302

  Koo, Junmo ^a   Han, Gwon Deok ^a   Choi, Hyung Jong ^a   Shim, Joon Hyung ^a  

^a Korea University   (South Korea)

Author keywords

Artificial neural networks; Climate data; Wind energy; Wind prediction

Indexed keywords

FORECASTING; GEOLOGY; NEURAL NETWORKS; SPEED; WIND POWER;

ANN (ARTIFICIAL NEURAL NETWORK); CLIMATE DATA; CORRELATION COEFFICIENT; GEOLOGICAL CHARACTERISTICS; REFERENCE STATIONS; WIND PREDICTION; WIND SPEED DATA; WIND SPEED PREDICTION;

WIND;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CLIMATE PREDICTION; GEOLOGICAL SURVEY; WIND POWER; WIND VELOCITY;

SOUTH KOREA;

EID: 84954520579     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.10.026     Document Type: Article

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