Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model
S Ding, J Hu, Q Lin - Energy Economics, 2023 - Elsevier
In China's new development stage, reaching carbon peaking and neutrality has emerged as
a complicated and substantial task, highlighting the importance of forecasting CO 2 …
a complicated and substantial task, highlighting the importance of forecasting CO 2 …
[HTML][HTML] AI analytics for carbon-neutral city planning: A systematic review of applications
Artificial intelligence (AI) has become a transformative force across various disciplines,
including urban planning. It has unprecedented potential to address complex challenges. An …
including urban planning. It has unprecedented potential to address complex challenges. An …
[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
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 …
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta …
Carbon emissions are a significant factor contributing to global climate change, and their
characterization and prediction are of great significance for regional sustainable …
characterization and prediction are of great significance for regional sustainable …
Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
Accurate forecasting of carbon dioxide (CO 2) emissions is crucial for achieving carbon
neutrality early, as CO 2 is the primary component of greenhouse gases. The time series of …
neutrality early, as CO 2 is the primary component of greenhouse gases. The time series of …
Three-dimensional S-scheme heterojunction by integration of purple tungsten oxide nanowires and cadmium sulfide nanospheres for effective photocatalytic …
The practical photocatalytic application of cadmium sulfide (CdS) has been significantly
constrained by fast carrier recombination and significant photocorrosion. Therefore, we …
constrained by fast carrier recombination and significant photocorrosion. Therefore, we …
Drivers, scenario prediction and policy simulation of the carbon emission system in Fujian Province (China)
In response to the looming problems induced by climate change and the Paris Climate
Summit, China has committed to capping the carbon-emission peak in 2030 and attaining …
Summit, China has committed to capping the carbon-emission peak in 2030 and attaining …
Spatiotemporal drivers of food system GHG emissions in China
Food systems emissions (FSE) account for one-third of anthropogenic GHGs. Mitigating
these emissions is pivotal for achieving the 1.5° C target. Given current research gaps in …
these emissions is pivotal for achieving the 1.5° C target. Given current research gaps in …
Chemical dissolution of minerals in anthracite after supercritical carbon dioxide immersion: Considering mechanical damage and enhanced porosity
H Song, Z Zhong, B Lin - Energy, 2023 - Elsevier
Carbon dioxide injection into in-situ coal seams can effectively enhance coalbed methane
recovery and promote carbon sequestration, increasing energy production while reducing …
recovery and promote carbon sequestration, increasing energy production while reducing …
[HTML][HTML] Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning
The study presents a novel framework integrating feature selection (FS) and machine
learning (ML) techniques to forecast inland national energy consumption (EC) in the United …
learning (ML) techniques to forecast inland national energy consumption (EC) in the United …