Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study

Membrane bioreactors (MBRs) have proven to be an extremely effective wastewater treatment process combining ultrafiltration with biological processes to produce high-quality effluent. However, one of the major drawbacks to this technology is membrane fouling. Currently, mechanistic models are often used to estimate membrane fouling through transmembrane pressure (TMP), but their performance is not always satisfactory. In this study, data-driven …