Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/5141
Title: Residential-commercial energy input estimation based on genetic algorithm (GA) approaches: An application of Turkey
Authors: Ozturk, H.K.
Canyurt, O.E.
Hepbasli, A.
Utlu, Z.
Keywords: Energy
Energy modelling
Energy planning
Energy use
Future projections
GA
Genetic algorithm
Residential
Turkey
Domestic appliances
Estimation
Genetic algorithms
Mathematical models
Optimization
Planning
Solar energy
Structural design
Energy modeling
Energy utilization
Abstract: The main objective of the present study is to develop the energy input estimation equations for the residential-commercial sector (RCS) in order to estimate the future projections based on genetic algorithm (GA) notion and to examine the effect of the design parameters on the energy input of the sector. For this purpose, the Turkish RCS is given as an example. The GA Energy Input Estimation Model (GAEIEM) is used to estimate Turkey's future residential-commercial energy input demand based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures. It may be concluded that the three various forms of models proposed here can be used as an alternative solution and estimation techniques to available estimation techniques. It is also expected that this study will be helpful in developing highly applicable and productive planning for energy policies. © 2003 Elsevier B.V. All rights reserved.
URI: https://hdl.handle.net/11499/5141
https://doi.org/10.1016/j.enbuild.2003.11.001
ISSN: 0378-7788
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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