Real-time data-processing framework with model updating for digital twins of water treatment facilities

Machine learning (ML) models are now widely used in digital twins of water treatment facilities. These models are commonly trained based on historical datasets, and their predictions serve various important objectives, such as anomaly detection and optimization. While predictions from the trained mo...

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Bibliographic Details
Main Authors: Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165234
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Institution: Nanyang Technological University
Language: English

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