Carbon emission, footprint and pricing prediction using machine learning: A survey

Key Points

• Carbon emissions and pricing can be effectively predicted using machine learning techniques, enhancing environmental strategies.
• The analysis highlighted the potential of algorithms in accurately forecasting carbon footprints across diverse industries, opening avenues for better management.
• Examining numerous studies, the survey discusses the integration of machine learning in predicting carbon impact and associated costs.
• Insights gained from this survey may drive innovation in how industries approach carbon emissions, aiming for reduced footprints.