eprintid: 2326
rev_number: 12
eprint_status: archive
userid: 6
dir: disk0/00/00/23/26
datestamp: 2014-10-21 13:08:59
lastmod: 2016-04-06 09:40:34
status_changed: 2014-10-21 13:08:59
type: book_section
metadata_visibility: show
creators_name: Sampathirao, Ajay Kumar
creators_name: Grosso Pérez, Juan Manuel
creators_name: Sopasakis, Pantelis
creators_name: Ocampo-Martinez, Carlos
creators_name: Bemporad, Alberto
creators_name: Puig, Vicenç
creators_id: 
creators_id: 
creators_id: pantelis.sopasakis@imtlucca.it
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: Water demand forecasting for the optimal operation of large-scale drinking water networks: the Barcelona case study
ispublished: unpub
subjects: QA75
divisions: CSA
full_text_status: public
pres_type: paper
keywords: Water supply and distribution systems; Control of large-scale systems; Model predictive and optimization-based control; Process control applications
note: 19th IFAC World Congress, August 24-29, 2014, Cape Town, South Africa
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.
date: 2014-08
date_type: published
publisher: IFAC
pagerange: 10457-10462
event_title: 19th IFAC World Congress
event_location: Cape Town, South Africa
event_dates: August 24-29, 2014
event_type: conference
id_number: 10.3182/20140824-6-ZA-1003.01343
refereed: TRUE
isbn: 978-3-902823-62-5
book_title: Proceedings of the 19th IFAC World Congress
official_url: http://www.ifac-papersonline.net/Detailed/68585.html
citation:   Sampathirao, Ajay Kumar and Grosso Pérez, Juan Manuel and Sopasakis, Pantelis and Ocampo-Martinez, Carlos and Bemporad, Alberto and Puig, Vicenç  Water demand forecasting for the optimal operation of large-scale drinking water networks: the Barcelona case study.   In:  Proceedings of the 19th IFAC World Congress.   IFAC, pp. 10457-10462.  ISBN 978-3-902823-62-5    (Unpublished)   (2014)  
document_url: http://eprints.imtlucca.it/2326/1/Sopasakis_19IFAC14.pdf