T?rkiye?s energy projection for 2050

dc.contributor.author Selen Cekinir
dc.contributor.author Onder Ozgener
dc.contributor.author Leyla Ozgener
dc.contributor.author Ozgener, Leyla
dc.contributor.author Cekinir, Selen
dc.contributor.author Ozgener, Onder
dc.date DEC
dc.date.accessioned 2025-10-06T16:23:01Z
dc.date.issued 2022
dc.description.abstract In this study Turkiye's energy projection has been evaluated based on four different scenarios for 2050. Firstly Turkiye's electricity production amount in 2050 has been predicted by using an artificial neural network model in MATLAB. According to the prediction it has been revealed that to what extent which scenario can meet this production value. While doing this it has been considered whether Turkiye could meet its energy needs independently by using only its own resources. Then it has been determined how much production increase should be required for each domestic resource by 2050 to meet 100% of the need in each scenario. Also these scenarios have been evaluated and it has been decided which one is more important for energy independence and which one is more important for emission decrease. This is the first study that makes both an energy prediction for 2050 and reveals whether Turkiye could achieve its energy targets and what needs to do to achieve it. This study aims to be a guide for determin-ing Turkiye's energy policies. (c) 2022 Elsevier Ltd. All rights reserved.
dc.identifier.doi 10.1016/j.ref.2022.09.003
dc.identifier.issn 1755-0084
dc.identifier.issn 1878-0229
dc.identifier.scopus 2-s2.0-85138616881
dc.identifier.uri http://dx.doi.org/10.1016/j.ref.2022.09.003
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7625
dc.identifier.uri https://doi.org/10.1016/j.ref.2022.09.003
dc.language.iso English
dc.publisher ELSEVIER
dc.relation.ispartof Renewable Energy Focus
dc.rights info:eu-repo/semantics/closedAccess
dc.source RENEWABLE ENERGY FOCUS
dc.subject Energy, Energy consumption, Modelling, Prediction, Energy policy
dc.subject COLONY OPTIMIZATION APPROACH, PARTICLE SWARM OPTIMIZATION, ARTIFICIAL NEURAL-NETWORKS, RENEWABLE ENERGY, WIND ENERGY, GEOTHERMAL-ENERGY, DEMAND ESTIMATION, ELECTRICITY CONSUMPTION, SUSTAINABLE DEVELOPMENT, CLIMATE-CHANGE
dc.subject Prediction
dc.subject Energy Policy
dc.subject Energy Consumption
dc.subject Modelling
dc.subject Energy
dc.title T?rkiye?s energy projection for 2050
dc.type Article
dspace.entity.type Publication
gdc.author.scopusid 57660498900
gdc.author.scopusid 6602415625
gdc.author.scopusid 6506529474
gdc.author.wosid Çekinir, Selen/HZM-2085-2023
gdc.author.wosid Ozgener, Onder/GXI-2820-2022
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gdc.bip.influenceclass C4
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gdc.description.department
gdc.description.departmenttemp [Cekinir, Selen] Yasar Univ, Vocat Sch, Dept Comp Technol, TR-35100 Bornova, I?zmir, Turkey; [Cekinir, Selen] Ege Univ, Grad Sch Nat & Appl Sci, Solar Energy Sci Branch, TR-35100 Bornova, Izmir, Turkey; [Ozgener, Onder] Ege Univ, Solar Energy Inst, TR-35100 Bornova, Izmir, Turkey; [Ozgener, Leyla] Celal Bayar Univ, Fac Engn, Dept Mech Engn, TR-45140 Muradiye, Manisa, Turkey
gdc.description.endpage 116
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 93
gdc.description.volume 43
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.identifier.openalex W4297091089
gdc.identifier.wos WOS:000869766900003
gdc.index.type WoS
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gdc.oaire.impulse 17.0
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gdc.oaire.keywords PArticle Swarm Optimization
gdc.oaire.keywords Energy
gdc.oaire.keywords Climate-Change
gdc.oaire.keywords Artificial Neural-Networks
gdc.oaire.keywords Sustainable Development
gdc.oaire.keywords Geothermal-Energy
gdc.oaire.keywords Modelling
gdc.oaire.keywords Energy consumption
gdc.oaire.keywords Colony Optimization Approach
gdc.oaire.keywords Demand Estimation
gdc.oaire.keywords Particle Swarm Optimization
gdc.oaire.keywords Wind Energy
gdc.oaire.keywords Renewable Energy
gdc.oaire.keywords Electricity Consumption
gdc.oaire.keywords Prediction
gdc.oaire.keywords Energy policy
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
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gdc.opencitations.count 14
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gdc.virtual.author Çekinir, Selen
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oaire.citation.startPage 93
publicationvolume.volumeNumber 43
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