T?rkiye?s energy projection for 2050

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dc.contributor.authorCekinir, S
dc.contributor.authorOzgener, O
dc.contributor.authorOzgener, L
dc.date.accessioned2024-07-18T12:03:18Z
dc.date.available2024-07-18T12:03:18Z
dc.description.abstractIn 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.issn1755-0084
dc.identifier.other1878-0229
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/9035
dc.language.isoEnglish
dc.publisherELSEVIER
dc.subjectCOLONY OPTIMIZATION APPROACH
dc.subjectPARTICLE SWARM OPTIMIZATION
dc.subjectARTIFICIAL NEURAL-NETWORKS
dc.subjectRENEWABLE ENERGY
dc.subjectWIND ENERGY
dc.subjectGEOTHERMAL-ENERGY
dc.subjectDEMAND ESTIMATION
dc.subjectELECTRICITY CONSUMPTION
dc.subjectSUSTAINABLE DEVELOPMENT
dc.subjectCLIMATE-CHANGE
dc.titleT?rkiye?s energy projection for 2050
dc.typeArticle

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