Predicting membrane cleaning effectiveness in a full-scale water treatment plant using an artificial neural network model

Membrane fouling is the primary operational challenge of membrane technologies in full-scale treatment facilities. However, quantification of membrane fouling is challenging because membrane operation is governed by a complex combination of uncertain and non-linear process parameters. Data-driven models using machine learning (ML) can be an efficient tool to characterize the membrane fouling process since they can deal with complicated datasets …