Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/4885
Title: | Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches | Authors: | Canyurt, O.E. Özturk, Harun Kemal Hepbasli, A. Utlu, Zafer |
Keywords: | Energy modeling Energy policy Energy use Future projections Genetic algorithm Turkey Cement manufacture Domestic appliances Genetic algorithms Housing Mathematical models Refrigerators Television Vacuum cleaners Washing machines Cement production Design parameters Energy utilization energy policy energy use genetic algorithm modeling residential energy Eastern Hemisphere Eurasia World Aves Meleagris gallopavo |
Abstract: | The present study develops three forms of equations to better analyze energy use and make future projections based on genetic algorithm (GA) notion, and examines the effect of the design parameters on the energy utilization values. The models developed in the quadratic form are applied to Turkey, which is selected as an application country. Turkey's future residential energy output demand is estimated based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures. Among these models, the so-called GA-RWTVR model, which uses residential housing production, house appliances sales of washing machine, television, vacuum cleaner and refrigerator as design parameters/indicators, was found to provide the best fit solution to the observed data. It may be concluded that the models proposed can be used as an alternative solution and estimation techniques to available estimation techniques in predicting the future energy utilization values of countries. © 2003 Elsevier Ltd. All rights reserved. | URI: | https://hdl.handle.net/11499/4885 https://doi.org/10.1016/j.enpol.2003.11.001 |
ISSN: | 0301-4215 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
35
checked on Oct 13, 2024
WEB OF SCIENCETM
Citations
29
checked on Nov 12, 2024
Page view(s)
48
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.