Wang et al. (2021) A machine learning framework to improve effluent quality control in wastewater treatment plants
This study developed a novel machine learning framework to improve effluent quality control in wastewater treatment plants by clarifying the complex relationships between operational variables and effluent parameters, rigorously accounting for time lags between processes. The framework, applied to the Umeå WWTP, revealed key operational factors influencing Total Suspended Solids and Phosphate in effluent, providing actionable insights for advanced process control.
