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dc.contributor.authorSaludes Closa, Jordi
dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.identifier.citationSaludes, J., Quevedo, J., Puig, V. Demand forecasting for real-time operational control. A: Puig Cayuela, Vicenç, Ocampo Martinez, Carlos Augusto, Perez Magrane, Ramon, Cembrano Gennari, M.gabriela Elena, Quevedo Casin, Joseba-jokin, Escobet Canal, T. "Real-time monitoring and operational control of drinking-water systems". Berlín: Springer, 2017, p. 99-113.
dc.description.abstractThis book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees. The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain. The proposed approaches and tools cover: - decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow andpressure actuators—pumping stations and pressure regulation valves—and intermediate storage tanks to be operated to meet demand using the most sustainable types of source and with minimum electricity costs; - decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection anddiagnosis techniques and using information from hundreds of flow,pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators; - consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns,providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level. Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increased population, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources.
dc.format.extent15 p.
dc.subject.lcshReal-time control
dc.subject.otherDemand Forecasting
dc.subject.otherARIMA Model
dc.subject.otherSmoothing Method
dc.titleDemand forecasting for real-time operational control
dc.typePart of book or chapter of book
dc.subject.lemacControl en temps real
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorSaludes, J.; Quevedo, J.; Puig, V.
local.citation.contributorPuig Cayuela, Vicenç, Ocampo Martinez, Carlos Augusto, Perez Magrane, Ramon, Cembrano Gennari, M.gabriela Elena, Quevedo Casin, Joseba-jokin, Escobet Canal, Teresa
local.citation.publicationNameReal-time monitoring and operational control of drinking-water systems

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