Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

Energy

Volumn 69, Issue , 2014, Pages 638-647

  Uzlu, Ergun ^a   Akpinar, Adem ^b   Özturk, Hasan Tahsin ^a   Nacar, Sinan ^a   Kankal, Murat ^a  

^a KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

^b ULUDAG UNIVERSITY   (Turkey)

Author keywords

Artificial bee colony algorithm; Hydropower generation; Neural networks; Turkey

Indexed keywords

ELECTRICITY; ENERGY UTILIZATION; EVOLUTIONARY ALGORITHMS; GEOTHERMAL ENERGY; INVESTMENTS; NEURAL NETWORKS; OPTIMIZATION; RENEWABLE ENERGY RESOURCES; ALGORITHMS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; HYDROELECTRIC POWER;

ANN (ARTIFICIAL NEURAL NETWORK); ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS; BP (BACK PROPAGATION) ALGORITHM; HYDRO-POWER GENERATION; HYDROELECTRIC GENERATION; RENEWABLE ENERGY SOURCE; TURKEY;

HYDROELECTRIC POWER; INVESTMENTS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DEMAND ANALYSIS; ENERGY CONSERVATION; ENERGY POLICY; ESTIMATION METHOD; HYDROELECTRIC POWER; INVESTMENT; NUMERICAL MODEL; STATE ROLE; ACCURACY ASSESSMENT; POWER GENERATION;

TURKEY;

APOIDEA;

EID: 84901497530     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.03.059     Document Type: Article

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