Residential-commercial energy input estimation based on genetic algorithm (GA) approaches: an application of Turkey

Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey

“…In the past, to make futuristic projections towards energy consumption, basic energy indicators have been used (Kilic -and Kaya, 2007;Ediger and Akar, 2007;Ediger and Tatlidil, 2002;Ö zturk et al, 2004, 2005Dinc -er and Dost, 1996;WEC-TNC, 2000;Topc -u and Ü lengin, 2004;Hepbasli, 2005;Demirbas -, 2002;So¨zen et al, 2006;So¨zen and Arcakliog˘lu, 2007;Hamzac -ebi, 2007;Kraft and Kraft, 1978;Hwang and Gum, 1991;Yu and Choi, 1985;Mozumder and Marathe, 2007;Say and Yu¨cel, 2006). Therefore, the correlations between the energy indicators and their effects on the predictions of energy resources have been taken into consideration.…”

Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables

“…At present, energy modeling is a subject of widespread interest among engineers and scientists concerned with the problems of energy production and consumption [3]. Modeling in some areas of application is now capable of making useful contributions to planning and policy formulation [4].…”

China's building energy efficiency and urbanization

“…Nesbakken furthered a two-tier model to access the impacts of income and price on BEC in Norway [26]. Ozturk et al and Canyurt et al utilized the genetic algorithms and developed a model of residentialcommercial energy consumption in Turkey stemming from some macroeconomic indices such as GDP, population, import/export, house production, cement production and appliance sales [27,28].…”