Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

Ü Ağbulut - Sustainable Production and Consumption, 2022 - Elsevier
Adverse impacts of the transportation sector on not only air quality but also economic growth
of a country are nowadays well-noticed, particularly by develo** countries. Today, the …

Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms

H Bakır, Ü Ağbulut, AE Gürel, G Yıldız, U Güvenç… - Journal of Cleaner …, 2022 - Elsevier
The accelerating increment of greenhouse gas (GHG) concentration in the atmosphere
already reached an alarming level, and nowadays its adverse impacts on the living …

Grey system theory in sustainable development research—a literature review (2011− 2021)

M Hu, W Liu - Grey Systems: Theory and Application, 2022 - emerald.com
Purpose As the grey systems theory has been widely used in the field of sustainable
development (SD) research, in the following, a short literature overview will be put forward …

Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms

MS Bakay, Ü Ağbulut - Journal of Cleaner Production, 2021 - Elsevier
Today, the world's primary energy demand has been met by the burning of fossil-based fuels
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …

Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

I Karakurt, BD Avci, G Aydin - Environmental Science and Pollution …, 2024 - Springer
In this paper, it is aimed, for the first time, at deriving simple models, leveraging the trend
analysis in order to estimate the future greenhouse gas emissions associated with coal …

A novel grey forecasting of greenhouse gas emissions from four industries of China and India

SA Javed, D Cudjoe - Sustainable Production and Consumption, 2022 - Elsevier
The increased greenhouse gas concentration in the atmosphere causes climate change.
China and India are among the most significant contributors to global greenhouse gas …

Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms

Y Natarajan, G Wadhwa, KR Sri Preethaa, A Paul - Electronics, 2023 - mdpi.com
Accurate estimation of fuel consumption and emissions is crucial for assessing the impact of
materials and stringent emission control techniques on climate change, particularly in the …

[HTML][HTML] Estimation of greenhouse gas emissions using linear and logarithmic models: A scenario-based approach for Turkiye's 2030 vision

M Ozdemir, S Pehlivan, M Melikoglu - Energy Nexus, 2024 - Elsevier
Turkiye pledged to considerably reduce its greenhouse gas (GHG) emissions by the year
2030 as a part of its commitment under the Paris Agreement. The problem with analyzing …

Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach

HB Chen, LL Pei, YF Zhao - Energy, 2021 - Elsevier
The aim of this research is to forecast seasonal fluctuations in electricity consumption, and
electricity usage efficiency of industrial sectors and identify the impacts of the novel …

Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization

U Şahin - Journal of Cleaner Production, 2019 - Elsevier
This study aims to contribute to the development of energy policies for Turkey's greenhouse
gas (GHG) emissions in the future. For this purpose, linear and nonlinear metabolic grey …