An enhanced interpretable ML approach for forecasting long-term CO2 and N2O emissions via optimized random forest modeling

Fuel 2026

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Authors: Yıldırım Özüpak, Emrah Aslan

DOI: 10.1016/j.fuel.2026.139723

Cited by: 10

References: 44

Fields of Study & Subjects

Energy Load and Power Forecasting Air Quality Monitoring and Forecasting Hydrological Forecasting Using AI

References 44