π¬ AI optimizes wastewater treatment digestion
Researchers developed a hybrid ML-NSGA-II framework for optimizing anaerobic digestion in wastewater treatment plants. This study was conducted at a laboratory scale, applying RF, SVR, and MLP to estimate biogas yield, effluent solids, and cost. Data from various sludge conditions showed strong correlations, with SVR achieving an RΒ² of 0.935 for biogas. Multi-objective optimization then determined minimum TSout of 0.0801 kg/d and cost of 7.5170 US$. The findings suggest a path to better sludge and wastewater management.