A study by Chinese researchers, published in Scientific Reports on April 17, 2025, develops a machine learning model that predicts carbon emissions. It highlights energy intensity, urbanization, and workforce size as key factors. For instance, the Random Forest model, enhanced by SHAP, offers precise forecasting, providing critical insights for environmental policy and economic planning.
Q&A
- What is SHAP analysis?
- How does machine learning enhance carbon emission prediction?
- What are the policy implications of this study?