A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets

A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets

Abstract The continued rise in global carbon dioxide ( $$CO_2$$ ) emissions challenges international climate policy, particularly the goals of the Paris Agreement. This study forecasts $$CO_2$$ emissions through 2030 for the eleven highest-emitting nations–China, the United States, India, Russia, Ja...

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Bibliographic Details
Main Authors: Arju Manara Begum, Mahadee Al Mobin
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Carbon Emission
Paris Agreement
Machine Learning
Climate Change
Climate Policy
Online Access:https://doi.org/10.1038/s41598-025-04236-5
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https://doi.org/10.1038/s41598-025-04236-5

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