Modelling approach for carbon emissions, energy consumption and economic growth: A systematic review
D Debone, VP Leite, SGEK Miraglia - Urban Climate, 2021 - Elsevier
Understanding the major driving forces of CO 2 emissions has become indispensable as the
challenges of climate change and adaptation become more widely recognized. This …
challenges of climate change and adaptation become more widely recognized. This …
Where and how machine learning plays a role in climate finance research
The financial sector, by mobilizing capital, is fundamental to adapt and mitigate the impact of
climate change in the economy. This has led to the emergence of a new research field …
climate change in the economy. This has led to the emergence of a new research field …
[HTML][HTML] 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 …
[HTML][HTML] Analysis of China's High-Carbon Manufacturing Industry's Carbon Emissions in the Digital Process
W Peng, Y Lei, X Zhang - Sustainability, 2023 - mdpi.com
In order to realize the coordinated development of digitalization and low-carbon emissions, it
is important to understand the carbon implications of the digitization of the high-carbon …
is important to understand the carbon implications of the digitization of the high-carbon …
Research on carbon emission quota allocation scheme under “Double Carbon” target: a case study of industrial sector in Henan Province
P Shi, L Li, Y Wu, Y Zhang, Z Lu - Environmental Science and Pollution …, 2023 - Springer
Abstract To achieve China's “Double Carbon” target, overall carbon emissions should be
effectively controlled, and carbon emission quota (CEQ) allocation is an important tool. This …
effectively controlled, and carbon emission quota (CEQ) allocation is an important tool. This …
Machine Learning methods in climate finance: a systematic review
Preventing the materialization of climate change is one of the main challenges of our time.
The involvement of the financial sector is a fundamental pillar in this task, which has led to …
The involvement of the financial sector is a fundamental pillar in this task, which has led to …
Predictive analytics for environmental impact: Deep learning and AI ensemble strategies in forecasting CO2 emissions
The forecasting of carbon dioxide (CO 2) emission trends stands as a pivotal step towards
achieving environmental sustainability. As countries grapple with the challenge of curbing …
achieving environmental sustainability. As countries grapple with the challenge of curbing …
Adaptive-Neuro Fuzzy Inference System for CO2 Emissions Data
L Abdullah, HM Pauzi - Intelligent and Fuzzy Techniques for Emerging …, 2022 - Springer
Carbon dioxide (CO 2) emission is one of the environmental issues nowadays and reported
has been steadily increasing in recent years due to rapid unsustainable economic activities …
has been steadily increasing in recent years due to rapid unsustainable economic activities …