Probing CO2 emission in Chengdu based on STRIPAT model and Tapio decoupling
F Yang, L Shi, L Gao - Sustainable Cities and Society, 2023 - Elsevier
Carbon dioxide (CO 2) is the primary driver of global warming. Conducting CO 2 emission
projections and identifying the decoupling relationship between CO 2 emission and …
projections and identifying the decoupling relationship between CO 2 emission and …
A hybrid coal prediction model based on grey Markov optimized by GWO–A case study of Hebei province in China
Y Xu, T Lin, P Du - Expert Systems with Applications, 2024 - Elsevier
Accurate prediction of coal consumption is crucial to the structural adjustment and high-
quality development of the coal industry, and provides an effective basis for the government …
quality development of the coal industry, and provides an effective basis for the government …
CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data
Carbon Dioxide (CO 2) is a significant contributor to greenhouse gas emissions and one of
the main drivers behind global warming and climate change. In spite of the global economic …
the main drivers behind global warming and climate change. In spite of the global economic …
CO2 emissions in the USA: new insights based on ANN approach
M Mutascu - Environmental Science and Pollution Research, 2022 - Springer
The paper's main aim is to forecast the carbon dioxide (CO2) emissions in the USA and its
related components, analysing the contributions of each of those components to CO2 total …
related components, analysing the contributions of each of those components to CO2 total …
A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China
X Li, X Zhang - Environmental Science and Pollution Research, 2023 - Springer
The escalating levels of carbon dioxide (CO2) emissions represent the primary driver of
global warming, and addressing them is of paramount importance. Timely and accurate …
global warming, and addressing them is of paramount importance. Timely and accurate …
Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment
Prediction of carbon dioxide (CO2) emissions is a critical step towards a sustainable
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
Forecasting Chinese carbon emission intensity based on the interactive effect GM (1, N) power model
Y Wang, Q Si - Grey Systems: Theory and Application, 2024 - emerald.com
Purpose This study aims to predict China's carbon emission intensity and put forward a set
of policy recommendations for further development of a low-carbon economy in China …
of policy recommendations for further development of a low-carbon economy in China …
Innovative approach to daily carbon dioxide emission forecast based on ensemble of quantile regression and attention BILSTM
Z Zhou, L Yu, Y Wang, Y Tian, X Li - Journal of Cleaner Production, 2024 - Elsevier
Given the increasingly severe challenges of global climate change and sustainable
development, accurate prediction of daily carbon dioxide (CO 2) emissions has become …
development, accurate prediction of daily carbon dioxide (CO 2) emissions has become …
[HTML][HTML] Study on CO2 Emission Forecast of “Four Provinces of Mountains and Rivers” Based on Time-SeriesMachine Learning
X Zhou, Z Liu, L Wu, Y Wang - Atmosphere, 2024 - mdpi.com
CO2 emissions prediction plays a key role in atmospheric environment management and
regional sustainable development. Taking the Four Provinces of Mountains and Rivers …
regional sustainable development. Taking the Four Provinces of Mountains and Rivers …
Analysis of Different Methods for Forecasting Transport Carbon Dioxide Emissions in the Philippines
AM Salang, VM Ramos Jr, AJ Salison… - Transportation Research …, 2025 - Elsevier
Emission forecasts can be an important way of creating awareness among the public and
decision-makers on solving environmental problems. The main goal of this study is to …
decision-makers on solving environmental problems. The main goal of this study is to …