Open access
Oct 2026
Machine Learning-Based NOx Prediction and Combustion Optimization for a Coal-Fired Boiler: The Role of Feature Engineering
A data-driven efficiency surrogate replaces hand-crafted formulas in multiobjective NSGA-II optimization, producing a scenario-dependent NOx-efficiency Pareto front whose sensitivity to coal calorific value is explicitly evaluated.
Pei-Xuan Li, Di-Ning Ma, Shi-Cong Jiang et al.
· ACS Omega · 0 citations