Energy demand isincreasing day by day in parallel with economic growth, especially for the rapidly developing countries. In order to achieve a sustainable economic growth, long-term targets are being put to manage the operation of market in a good way. Turkey isan emerging and rapidlydeveloping country soits energy demand has increased rapidly to meet the growing economy. Therefore, forecasting Turkey’s energy demand accurately is of great importance toachieve a sustainable economic growth. The main goal of this study is to develop the equation for forecasting energy demand using the backpropagationalgorithmwhich is one of the artificial neural-network models to determine the future level of energy demand.This study presents the predictions for the years 2017-2020.The results of the energy demand estimations found in this studyare compared with the official estimations of the MENR. It is concluded that official estimations for Turkey’s energy demand are dramatically higher than forecasting value presented in this study.
Eser Adı (dc.title) | Turkey’s Forecasting of Energy Demand with Artificial Neural-Network |
Yayın Türü (dc.type) | Konferans Bildirisi |
Yazar/lar (dc.contributor.author) | YAŞAR, Esra |
Yazar/lar (dc.contributor.author) | UÇKUN, Ayşegül |
Atıf Dizini (dc.source.database) | Diğer |
Konu Başlıkları (dc.subject) | Artificial Neural-Network |
Konu Başlıkları (dc.subject) | Turkey |
Konu Başlıkları (dc.subject) | Energy Demand Forecast |
Yayıncı (dc.publisher) | International Renewable Energy Conference (IRENEC 2017) |
Yayın Tarihi (dc.date.issued) | 2017 |
Kayıt Giriş Tarihi (dc.date.accessioned) | 2019-07-10T08:02:18Z |
Açık Erişim tarihi (dc.date.available) | 2019-07-10T08:02:18Z |
Özet (dc.description.abstract) | Energy demand isincreasing day by day in parallel with economic growth, especially for the rapidly developing countries. In order to achieve a sustainable economic growth, long-term targets are being put to manage the operation of market in a good way. Turkey isan emerging and rapidlydeveloping country soits energy demand has increased rapidly to meet the growing economy. Therefore, forecasting Turkey’s energy demand accurately is of great importance toachieve a sustainable economic growth. The main goal of this study is to develop the equation for forecasting energy demand using the backpropagationalgorithmwhich is one of the artificial neural-network models to determine the future level of energy demand.This study presents the predictions for the years 2017-2020.The results of the energy demand estimations found in this studyare compared with the official estimations of the MENR. It is concluded that official estimations for Turkey’s energy demand are dramatically higher than forecasting value presented in this study. |
Yayın Dili (dc.language.iso) | en |
Tek Biçim Adres (dc.identifier.uri) | https://hdl.handle.net/20.500.12498/1009 |