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CCWI2017: F34 'An integrated state estimation approach to enhance the on-line monitoring capabilities of water distribution systems'

Authors: Díaz, Sarai; González, Javier; Mínguez, Roberto;

CCWI2017: F34 'An integrated state estimation approach to enhance the on-line monitoring capabilities of water distribution systems'

Abstract

State estimation techniques have been widely discussed in academia in the context of water distribution systems, but there are few real-life applications. The aim of this paper is to show the potential advantages of systematically implementing state estimation techniques for on-line monitoring water distribution systems. With this purpose, two state estimation-based methodologies are here applied to C-Town case study: (1) calibration via multi-period state estimation, in order to adjust model parameters based on state estimation results over time, and (2) topological state estimation, in order to identify changes in the statuses of pumps and valves. Results show that state estimation techniques are a good alternative to adapt the paradigm of water distribution networks analysis to the reality of telemetry systems.

Country
United Kingdom
Keywords

Civil engineering not elsewhere classified

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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