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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Main Authors: Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun
其他作者: School of Civil and Environmental Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/165234
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