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dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorSaludes Closa, Jordi
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorBlanch i Font, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II
dc.date.accessioned2014-10-13T08:20:13Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationQuevedo, J. [et al.]. Short-term demand forecasting for real-time operational control of the Barcelona water transport network. A: Mediterranean Conference on Control & Automation. "2014 22nd Mediterranean Conference on Control and Automation (MED) University of Palermo. June 16-19, 2014. Palermo, Italy". Palermo: 2014, p. 990-995.
dc.identifier.urihttp://hdl.handle.net/2117/24350
dc.description.abstractThis paper focuses on the forecast of the hourly water demand data of distinct pressure floors of the Barcelona water transport network. Several methods to forecast the hourly water demand are studied and compared with the aim of being applied for the operational control of the Barcelona water transport network. The short-term forecast of the intraday series has a main feature: the double periodicity (daily and hourly). To address this issue several extensions of the classical time-series forecasting methods are proposed: seasonal ARIMA, structural models and the exponential methods without external information. The paper focuses on the daily and hourly forecasts. In the hourly forecast, the exponential smoothing method is the most accurate. On the hand, the seasonal ARIMA and the exponential smoothing are similar in the daily time scale.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshExponential smoothing methods
dc.subject.lcshShort-term forecasting
dc.subject.lcshInternal model control
dc.subject.lcshAutomation
dc.titleShort-term demand forecasting for real-time operational control of the Barcelona water transport network
dc.typeConference report
dc.subject.lemacAigua -- Abastament -- Gestió
dc.subject.lemacAutomatització
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.identifier.doi978-1-4799-5899-3/14/$31.00 ©2014 IEEE
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15140424
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorQuevedo, J.; Saludes, J.; Puig, V.; Blanch, J.
upcommons.citation.contributorMediterranean Conference on Control & Automation
upcommons.citation.pubplacePalermo
upcommons.citation.publishedtrue
upcommons.citation.publicationName2014 22nd Mediterranean Conference on Control and Automation (MED) University of Palermo. June 16-19, 2014. Palermo, Italy
upcommons.citation.startingPage990
upcommons.citation.endingPage995


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