Towards the digitalization of water treatment facilities: A case study on machine learning-enabled digital twins

The digital transformation of water treatment facilities through machine learning-enabled Digital Twins (ML-DTs) offers a paradigm shift in sustainable water management. This work introduces an embedded DT framework that seamlessly integrates water treatment facility equipment, middleware, cloud com...

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Bibliographic Details

Published in:	Journal of water process engineering Vol. 77; p. 108316
Main Authors:	Ma, Zeyu, Zhu, Yunyi, Chen, Chunsheng, Li, Ting, Li, Yanan, Li, Xiaoding, Wang, Yuan, Waite, T. David, Guan, Jing
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2025
Subjects:	Artificial intelligence (AI) Digital twin Digital water Internet of things (IoT) Water and wastewater treatment plants Water and wastewater treatment plants Digital twin Artificial intelligence (AI) Digital water Internet of things (IoT)
ISSN:	2214-7144, 2214-7144
Online Access:	Get full text
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