Kömür Kaynaklı CO2 Emisyonlarının Tahminine Yönelik Model Geliştirilmesi: BRICS-T Ülkeleri Örneği-Reference-Cited by-同舟云学术

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Kömür Kaynaklı CO2 Emisyonlarının Tahminine Yönelik Model Geliştirilmesi: BRICS-T Ülkeleri Örneği

Published:2020-06-15 Issue:1 Volume:10 Page:214-229
ISSN:1309-4726
Container-title:Karadeniz Fen Bilimleri Dergisi
language:
Short-container-title:

Author:

KARAKURT İzzet,AYDIN Gökhan

Publisher

Karadeniz Fen Bilimleri Dergisi

Subject

Community and Home Care

Reference41 articles.

1. Abas, N., Kalair, A., Khan, N.(2015). Review of fossil fuels and future energy technologies. Futures, 69, 31–49.

2. Atıcı, U., Ersoy, A. (2009). Correlation of specific energy of cutting sawsand drilling bits with rock brittleness and destruction energy. Journal of Materials Processing Technology, 209, 2602–2612.

3. Aydin, G., Karakurt, I., Hamzacebi, C. (2015). Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting. The International Journal of Advanced Manufacturing Technology, 75, 1321–1330.

4. Aydin, G., Karakurt, I., Hamzaçebi, C. (2015). Performance prediction of diamond sawblades using artificial neural network and regression analysis. Arabian Journal for Science and Engineering, 40(7), 2003–2012.

5. Azevedo, VG., Sartori, S., Campos, L.M.S. (2018). CO2 emissions: A quantitative analysis among the BRICS nations. Renewable and Sustainable Energy Reviews, 81, 107–115.

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2. Investigation of the Relationship Between CO2 Emission and Primary Energy Consumption with Quantile Regression Model;Düzce Üniversitesi Bilim ve Teknoloji Dergisi;2023-07-31

3. INTRODUCTION TO FOSSIL FUELS;Reference Module in Earth Systems and Environmental Sciences;2023

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