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Water demand forecasting for the optimal operation of large-scale drinking water networks: the Barcelona case study
dc.contributor.author | Sampathirao, Ajay Kumar |
dc.contributor.author | Grosso Pérez, Juan Manuel |
dc.contributor.author | Sopasakis, Pantelis |
dc.contributor.author | Ocampo-Martínez, Carlos |
dc.contributor.author | Bemporad, Alberto |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2015-07-31T12:32:02Z |
dc.date.available | 2015-07-31T12:32:02Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Sampathirao, A., Grosso, J.M., Sopasakis, P., Ocampo-Martinez, C.A., Bemporad, A., Puig, V. Water demand forecasting for the optimal operation of large-scale drinking water networks: the Barcelona case study. A: World Congress of the International Federation of Automatic Control. "Proceedings of the 19th IFAC World Congress, 2014". Cape Town: International Federation of Automatic Control (IFAC), 2014, p. 10457-10462. |
dc.identifier.isbn | 978-3-902823-62-5 |
dc.identifier.uri | http://hdl.handle.net/2117/76478 |
dc.description.abstract | Drinking Water Networks (DWN) are large-scale multiple-input multiple-output systems with uncertain disturbances (such as the water demand from the consumers) and involve components of linear, non-linear and switching nature. Operating, safety and quality constraints deem it important for the state and the input of such systems to be constrained into a given domain. Moreover, DWNs' operation is driven by time-varying demands and involves an considerable consumption of electric energy and the exploitation of limited water resources. Hence, the management of these networks must be carried out optimally with respect to the use of available resources and infrastructure, whilst satisfying high service levels for the drinking water supply. To accomplish this task, this paper explores various methods for demand forecasting, such as Seasonal ARIMA, BATS and Support Vector Machine, and presents a set of statistically validated time series models. These models, integrated with a Model Predictive Control (MPC) strategy addressed in this paper, allow to account for an accurate on-line forecasting and flow management of a DWN. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | International Federation of Automatic Control (IFAC) |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.other | automation |
dc.subject.other | control theory |
dc.subject.other | optimisation |
dc.subject.other | predictive control |
dc.subject.other | disturbance forecasting |
dc.subject.other | large-scale systems. model predictive control |
dc.subject.other | industrial processes |
dc.title | Water demand forecasting for the optimal operation of large-scale drinking water networks: the Barcelona case study |
dc.type | Conference report |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.3182/20140824-6-ZA-1003.01343 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Optimisation |
dc.rights.access | Open Access |
local.identifier.drac | 15271290 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Sampathirao, A.; Grosso, J.M.; Sopasakis, P.; Ocampo-Martinez, C.A.; Bemporad, A.; Puig, V. |
local.citation.contributor | World Congress of the International Federation of Automatic Control |
local.citation.pubplace | Cape Town |
local.citation.publicationName | Proceedings of the 19th IFAC World Congress, 2014 |
local.citation.startingPage | 10457 |
local.citation.endingPage | 10462 |