Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey

Energy

Volumn 35, Issue 4, 2010, Pages 1724-1729

  Cinar, Didem ^a   Kayakutlu, Gulgun ^a   Daim, Tugrul ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b PORTLAND STATE UNIVERSITY   (United States)

Author keywords

Back propagation; Genetic algorithms; Neural networks; Renewable energy

Indexed keywords

BACKPROPAGATION; ENERGY MANAGEMENT; GENETIC ALGORITHMS; NEURAL NETWORKS;

BP MODEL; CURRENT ENERGY; ECONOMIC DEVELOPMENT; ENERGY PRODUCTIONS; ENERGY SCENARIOS; ENERGY STUDIES; FORECASTING MODELS; GLOBAL SUSTAINABILITY; INTELLIGENT ALGORITHMS; KEY INDICATOR; RENEWABLE ENERGIES; TEST ERRORS; TURKISHS;

RENEWABLE ENERGY RESOURCES;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; ECONOMIC DEVELOPMENT; FORECASTING METHOD; FUTURE PROSPECT; GENETIC ALGORITHM; HYDROELECTRIC POWER; NUMERICAL MODEL; POWER GENERATION; RENEWABLE RESOURCE; SUSTAINABLE DEVELOPMENT;

TURKEY;

EID: 77949275746     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2009.12.025     Document Type: Article

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