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 …

A hybrid model with applying machine learning algorithms and optimization model to forecast greenhouse gas emissions with energy market data

ME Javanmard, SF Ghaderi - Sustainable Cities and Society, 2022 - Elsevier
In recent decades, many countries have encountered air pollution and environmental
problems caused by greenhouse gas (GHG) emissions. One of the essential approaches to …

Nature-inspired hybrid techniques of IWO, DA, ES, GA, and ICA, validated through a k-fold validation process predicting monthly natural gas consumption

W Qiao, H Moayedi, LK Foong - Energy and Buildings, 2020 - Elsevier
Current study aimed to combine the multi-layer Perceptron (MLP) neural network technique
with five metaheuristic computational algorithms, namely invasive weed optimization (IWO …

Analysis of energy consumption and greenhouse gas emissions trend in China, India, the USA, and Russia

M Ahmed, C Shuai, M Ahmed - International Journal of Environmental …, 2023 - Springer
With the growth of industries and population, the need for energy consumption has
increased, which has inevitably increased greenhouse gas emissions. Further use of fossil …

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 …

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 …

Forecasting of carbon dioxide emissions from power plants in Kuwait using United States Environmental Protection Agency, Intergovernmental panel on climate …

S AlKheder, A Almusalam - Renewable Energy, 2022 - Elsevier
The second largest share of Greenhouse Gas (GHG) emissions is generated by electricity
production. Approximately 63% of the generated electricity is from burning fossil fuels …

Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms

ME Javanmard, SF Ghaderi - Sustainable Cities and Society, 2023 - Elsevier
With the growth of population, many countries face the challenge of supplying energy
resources. One approach to managing and planning these resources is to predict energy …

Integrating data mining and fuzzy decision-making techniques for analyzing the key minimizing factors of carbon emissions

H Dinçer, S Eti, S Yüksel, S Özdemir… - Journal of Intelligent …, 2023 - content.iospress.com
The purpose of this study is to identify the key factors to minimize carbon emission problem.
Within this framework, an examination has been made by considering both data mining and …

A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer

W Qiao, H Lu, G Zhou, M Azimi, Q Yang… - Journal of Cleaner …, 2020 - Elsevier
Global warming is a hot topic of climate change, and its negative impact on oceans, ecology,
and human health has become an indisputable fact. As a major cause of global warming …