Optimal selection of predictors for greenhouse gas emissions forecast in Hong Kong

WT Ho, FW Yu - Journal of cleaner production, 2022 - Elsevier
This study aims to forecast greenhouse gas (GHG) emissions in Hong Kong with an optimal
selection of predictors. A review is made on the time-series of the GHG emissions by …

Carbon emissions prediction based on the GIOWA combination forecasting model: A case study of China

H Wang, Z Wei, T Fang, Q Xie, R Li, D Fang - Journal of Cleaner Production, 2024 - Elsevier
Mitigating greenhouse gas emissions is a significant global challenge, and precise
prediction of carbon emissions holds the utmost importance for China to attain its dual …

Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis

DZ Antanasijević, MĐ Ristić, AA Perić-Grujić… - International Journal of …, 2014 - Elsevier
The prediction of GHG emissions is very important due to their negative impacts on climate
and global warming. The aim of this study was to develop a model for GHG forecasting …

A novel integrated optimization model for carbon emission prediction: A case study on the group of 20

Y Zhang, X Li, Y Zhang - Journal of Environmental Management, 2023 - Elsevier
Carbon emission is a central factor in the study of the greenhouse effect and a crucial
consideration in environmental policy making. Therefore, it is essential to establish carbon …

[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector

Q Qiao, H Eskandari, H Saadatmand, MA Sahraei - Energy, 2024 - Elsevier
The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …

Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model

S Ding, N Xu, J Ye, W Zhou, X Zhang - Journal of Cleaner Production, 2020 - Elsevier
Under the background of green and low-carbon economy, comprehensively analyzing the
influential factors and apply them to accurately estimate energy-related CO 2 emissions …

Prediction of carbon emissions in China's construction industry using an improved grey prediction model

JB Liu, XY Yuan, CC Lee - Science of The Total Environment, 2024 - Elsevier
As a significant source of global energy consumption and greenhouse gas emissions, the
construction industry garners widespread attention due to its high carbon emissions …

Influencing the variable selection and prediction of carbon emissions in China

Z Chang, Y Jiao, X Wang - Sustainability, 2023 - mdpi.com
In order to study the changing rule of carbon dioxide emissions in China, this paper
systematically focused on their current situation, influencing factors, and future trends. Firstly …

Industrial carbon emission forecasting considering external factors based on linear and machine learning models

L Ye, P Du, S Wang - Journal of Cleaner Production, 2024 - Elsevier
Accurate forecasting of carbon emissions has become a critical task for the government to
formulate effective policies and sustainable development. However, previous studies have …

Forecast of China's carbon emissions under the background of carbon neutrality

M Shi - Environmental Science and Pollution Research, 2022 - Springer
Climate change intensifies, so does the need to reduce carbon emissions to achieve the
goal of being “carbon neutral” for China. This paper focuses on carbon emission prediction …