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

Energy production is considered as one of the key indicators for economic development. It is vital to improve the renewable energy production for global sustainability, while leveraging the national resources. This study is contributing to the demonstration of using genetic algorithms (GA) in the de...

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Veröffentlicht in:	Energy (Oxford) Jg. 35; H. 4; S. 1724 - 1729
Hauptverfasser:	Cinar, Didem, Kayakutlu, Gulgun, Daim, Tugrul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.04.2010 Elsevier
Schlagworte:	Applied sciences Back-propagation Economic data Electric energy Energy Energy economics Exact sciences and technology General, economic and professional studies Genetic algorithms Methodology. Modelling Natural energy Neural networks Renewable energy Asia Turkey Renewable energy Neural networks Back-propagation Genetic algorithms Short term Case study Hydraulic power Backpropagation algorithm Electricity Methodology Genetic algorithm Electric power production Forecasting
ISSN:	0360-5442
Online-Zugang:	Volltext
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