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

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Tarih

2022

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Yayıncı

Institute of Electrical and Electronics Engineers Inc.

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

Istanbul Nisantasi University; NTEC; TMEiC
11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022 -- 18 September 2022 through 21 September 2022 -- Istanbul -- 183802

Anahtar Kelimeler

Gross National Product, Levenberg-Marquardt, NARX, Neural Networks

Kaynak

11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022

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