Estimating the effect of renewable energy policies on the Republic of Turkey's gross national product by using artificial Intelligence

Basit Öğe Kaydı
dc.authorid0000-0003-2989-3781
dc.authorid0000-0002-9338-0174
dc.authorid0000-0002-9735-5697
dc.authorscopusid35486816200
dc.authorscopusid57419177700
dc.authorscopusid18037100700
dc.contributor.authorBeken, Murat
dc.contributor.authorKurt, Nursaç
dc.contributor.authorEyecioğlu, Önder
dc.date.accessioned2024-09-25T19:42:51Z
dc.date.available2024-09-25T19:42:51Z
dc.date.issued2022
dc.departmentBAİBÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionIstanbul Nisantasi University; NTEC; TMEiCen_US
dc.description11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022 -- 18 September 2022 through 21 September 2022 -- Istanbul -- 183802en_US
dc.description.abstractToday, most of the states in the energy field, especially the developed countries in the world, continue to increase the rate of use of renewable energy. The Republic of Turkey is one of these states. This study aimed to examine the effect of the renewable energy transformation process on the gross national product with artificial intelligence in the action plan of the Republic of Turkey in the process of moving away from fossil fuel-based energy sources. We deployed artificial neural networks to estimate Turkey's gross national product. As a result of the study, because of the policy of increasing the use of renewable energy sources by 7% annually and reducing the use of fossil derivative fuels by 8% annually in the next twenty years, the energy distributions in 2043 and their effect on Turkey's gross national product are shown. © 2022 IEEE.en_US
dc.identifier.doi10.1109/ICRERA55966.2022.9922892
dc.identifier.endpage610en_US
dc.identifier.isbn978-166547140-4
dc.identifier.scopus2-s2.0-85142015881en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage606en_US
dc.identifier.urihttps://doi.org/10.1109/ICRERA55966.2022.9922892
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12300
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBeken, Murat
dc.institutionauthorEyecioğlu, Önder
dc.institutionauthorid0000-0003-2989-3781
dc.institutionauthorid0000-0002-9735-5697
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzYK_20240925en_US
dc.subjectGross National Producten_US
dc.subjectLevenberg-Marquardten_US
dc.subjectNARXen_US
dc.subjectNeural Networksen_US
dc.titleEstimating the effect of renewable energy policies on the Republic of Turkey's gross national product by using artificial Intelligenceen_US
dc.typeConference Objecten_US

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