A study on wind speed prediction using artificial neural network at jeju island in Korea

Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009

Volumn , Issue , 2009, Pages

  Wu, Liang ^a   Park, Jeongje ^a   Choi, Jaeseok ^a   Cha, Junmin ^b   Lee, Kwang Y ^c  

^a Gyeongsang National University   (South Korea)

^b Daejin University   (South Korea)

^c Baylor University   (United States)

Author keywords

Artificial neural networks; Renewable energy; Wind speed prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ELECTRICAL ENERGY; ENVIRONMENT FRIENDLY; HIGH RATE; JEJU ISLAND; RENEWABLE ENERGIES; RENEWABLE ENERGY SOURCE; SYSTEM SCHEDULING; WIND ENERGY; WIND SPEED; WIND SPEED PREDICTION;

RANDOM PROCESSES; RANDOM VARIABLES; SPEED; WIND EFFECTS; WIND POWER;

NEURAL NETWORKS;

EID: 76249096151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TD-ASIA.2009.5356873     Document Type: Conference Paper

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