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Data-driven and model-based framework for smart water grid anomaly detection and localization

Data-driven and model-based framework for smart water grid anomaly detection and localization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2777486041

Data-driven and model-based framework for smart water grid anomaly detection and localization

About this item

Full title

Data-driven and model-based framework for smart water grid anomaly detection and localization

Publisher

Oxford: IWA Publishing

Journal title

Journal of water supply : research and technology - AQUA, 2022-01, Vol.71 (1), p.31

Language

English

Formats

Publication information

Publisher

Oxford: IWA Publishing

More information

Scope and Contents

Contents

With increasing adoption of advanced meter infrastructure, smart sensors together with SCADA (Supervisory Control and Data Acquisition) systems, it is imperative to develop novel data analytics and couple the results with hydraulic modeling to improve the quality and efficiency of water services. One important task is to timely detect and localize...

Alternative Titles

Full title

Data-driven and model-based framework for smart water grid anomaly detection and localization

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2777486041

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2777486041

Other Identifiers

ISSN

1606-9935

E-ISSN

1605-3974

DOI

10.2166/aqua.2021.091

How to access this item