In the context of the practice of high-quality social development gradually deepening, the
optimization of energy structure is an important link to promote high-quality economic …

As the world's largest CO 2 emitter, China is a prominent case study for scenario analysis.
This study uses two newly developed global top-down and bottom-up models with a …

Studying temporal patterns in emissions associated with electricity generation is
increasingly important. On the supply side, there is interest in integrating renewable energy …

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 …

It is widely accepted that natural gas is a clean energy source that can be used to meet
energy demand for heating and industrial purpose among the fossil fuels and its usage …

The transportation sector is a major contributor to carbon emissions, and managing its
carbon peak is essential for China to reach the 2030 carbon peak target. This paper uses …

This paper aims to provide a thorough guide on how to analyze complex energy demand
forecasting models with Shapley Additive exPlanations (SHAP) in order to build trust in their …

This study seeks to assess the future demand for energy and the trajectory of CO2 emissions
level in Greece, taking into account the impact of the Community Support Framework (CSF) …

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 …

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 …