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 developing countries. Today, the …

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 …

Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China

Y Huang, L Shen, H Liu - Journal of Cleaner Production, 2019 - Elsevier
With the development of China's economy, the use of fossil energy has become more and
more, resulting in increasing carbon emissions. CO 2 emissions have caused global …

Prediction and evaluation of greenhouse gas emissions for sustainable road transport within Europe

Y Kazancoglu, M Ozbiltekin-Pala… - Sustainable Cities and …, 2021 - Elsevier
Environmental pollution leads a rise in sustainable development problems. Greenhouse
gases (GHG) are one of the most important barriers against to sustainable development and …

A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries

W Wu, X Ma, Y Zhang, W Li, Y Wang - Science of the Total Environment, 2020 - Elsevier
Nowadays, climate change is one of the most important global issues to the international
community. And nearly thirty kinds of greenhouse gases have been found in the …

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 …

Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel …

U Şahin - Expert Systems with Applications, 2022 - Elsevier
Abstract China and the United States (US) are in the first two places among the countries
that consume the most primary energy and emit CO 2 emissions in the world. Considering …

Embodied carbon dioxide flow in international trade: A comparative analysis based on China and Japan

R Long, J Li, H Chen, L Zhang, Q Li - Journal of environmental …, 2018 - Elsevier
Carbon dioxide embodied flow in international trade has become an important factor in
defining global carbon emission responsibility and climate policy. We conducted an …

Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery

D Yang, W Luan, L Qiao, M Pratama - Applied Energy, 2020 - Elsevier
Climate warming due to carbon emissions has been recognized as a threat to food security,
human health and natural ecosystem, and carbon emission reduction is a challenging job …

Projections of Turkey's electricity generation and installed capacity from total renewable and hydro energy using fractional nonlinear grey Bernoulli model and its …

U Şahin - Sustainable Production and Consumption, 2020 - Elsevier
In this study, forecasting of Turkey's total renewable and hydro energy installed capacity and
electricity generation from 2019 to 2030 was investigated. For this purpose, fractional …