Toward smart wastewater treatment plants: a novel data-driven sludge blanket model based on stochastic differential equations
Phillip Brinck Vetter,
Peter Alexander Stentoft,
Thomas Munk-Nielsen
et al.
Abstract:A novel data-driven model for forecasting the sludge blanket height in secondary clarifiers is presented. The model is trained on sensor measurements of the sludge blanket height and used as inputs such as (1) the clarifier feed flow rate, (2) feed suspended solids concentration, and (3) the clarifier recycle flow rate. The model’s prediction accuracy is evaluated based on data from two Danish wastewater treatment plants by means of root-mean-square errors (RMSEs), and results are compared against a persistenc… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.