Wgde Abdulhakim Salih Arbei

An interpretable metaheuristic-optimized RVFL architecture for robust CO₂ emissions prediction in decarbonizing energy systems

Sustainable energy transition requires accurate forecasting tools to guide decarbonization and environmental policy. This study develops an artificial intelligence-based framework to predict CO₂ emissions in Germany using advanced machine learning techniques. The proposed model integrates a Random Vector Functional L...