Prediction of wastewater treatment quality using LSTM neural network
Published in Environmental Technology & Innovation, 2021
Overview
Predicting effluent quality parameters in wastewater treatment plants helps with process monitoring and compliance. In this paper, we evaluate LSTM networks for predicting water quality parameters (such as Chemical Oxygen Demand and Total Suspended Solids) using operational sensor measurements from a treatment facility.
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Recommended citation: Nitzan Farhi, Efrat Kohen, Hadas Mamane, Yuval Shavitt, "Prediction of wastewater treatment quality using LSTM neural network." Environmental Technology & Innovation, Vol. 23, 101632, 2021.
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