Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network
Published in Environmental Science: Water Research & Technology, 2022
Overview
The Sludge Volume Index (SVI) is a standard measure of settling characteristics in activated sludge wastewater treatment. This paper uses an LSTM neural network trained on multi-year sensor data to predict SVI several days in advance.
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Recommended citation: Efrat Kohen, Nitzan Farhi, Yuval Shavitt, Hadas Mamane, "Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network." Environmental Science: Water Research & Technology, Vol. 8, No. 11, pp. 2786-2795, 2022.
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