Parameterization and sampling design for water networks demand calibration using the SVD : application to a real network

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.contributor.author	Sanz Estapé, Gerard
dc.contributor.author	Pérez Magrané, Ramon
dc.date	2014
dc.identifier.citation	Sanz, G.; Perez, R. Parameterization and sampling design for water networks demand calibration using the SVD : application to a real network. A: International Conference on Hydroinformatics. "11th International Conference on Hydroinformatics,". New York: 2014, p. 1-8.
dc.identifier.citation	978-0-692-28129-1
dc.identifier.uri	http://hdl.handle.net/2117/27134
dc.language.iso	eng
dc.relation	http://www.hic2014.org/proceedings/handle/123456789/1340
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Water-supply engineering -- Computer simulation
dc.subject	Water distribution network models
dc.subject	Aigua--Abastament--Tècnica
dc.subject	Aigua potable -- Abastament -- Control automàtic
dc.title	Parameterization and sampling design for water networks demand calibration using the SVD : application to a real network
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The availability of a good hydraulic model increases the reliability of the results of methodologies using it. Thus, the calibration of the model is a previous step that has to be done. The most uncertain parameters of the model are demands due to their constant variability. However, calibrating these demands requires a high computational cost that can be reduced by redefining the unknown parameters from nodal demands to demand patterns. Besides, the number and location of the used sensors is highly correlated with the definition of such patterns. This paper presents a methodology for parameterizing the network and selecting sensors using the information from the singular value decomposition of the water distribution network sensitivity matrix. The application of this methodology on a real network is presented.

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