Estimating the effect of renewable energy rolicies on the republic of Turkey's gross national product by using artificial intelligence
Yükleniyor...
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Today, 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.
Açıklama
Anahtar Kelimeler
Gross National Product, Levenberg-Marquardt, NARX, Neural Networks
Kaynak
2022 11th International Conference on Renewable Energy Research and Application (ICRERA)
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Beken, M., Kurt, N., & Eyecioglu, O. (2022, September). Estimating the Effect of Renewable Energy Policies on the Republic of Turkey's Gross National Product by using Artificial Intelligence. In 2022 11th International Conference on Renewable Energy Research and Application (ICRERA) (pp. 606-610). IEEE.
