LSTM-based autoencoder models for real-time quality control of wastewater treatment sensor data

The operation of smart wastewater treatment plants (WWTPs) is increasingly paramount in improving effluent quality, facilitating resource recovery and reducing carbon emissions. To achieve these objectives, sensors, monitoring systems, and artificial intelligence (AI)-based models are increasingly b...

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Bibliographic Details

Published in:	Journal of hydroinformatics Vol. 26; no. 2; pp. 441 - 458
Main Authors:	Seshan, Siddharth, Vries, Dirk, Immink, Jasper, van der Helm, Alex, Poinapen, Johann
Format:	Journal Article
Language:	English
Published:	IWA Publishing 01.02.2024
Subjects:	anomaly detection arima models autoencoder models data reconciliation wastewater treatment plant data
ISSN:	1464-7141, 1465-1734
Online Access:	Get full text
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