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Data Based Modeling of a Large Scale Water Delivery System

2016-10-14Journal article Restricted access
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dc.contributor.authorFernandes, Marta
dc.contributor.authorOliveira, Paulo
dc.contributor.authorVieira, Susana
dc.contributor.authorMendonça, Luís
dc.contributor.authorNabais, João Lemos
dc.contributor.authorBotto, Miguel Ayala
dc.date.accessioned2025-01-10T16:36:13Z
dc.date.available2025-01-10T16:36:13Z
dc.date.issued2016-10-14
dc.description.abstractWater is a vital resource and the growing populations and economies around the globe are pushing its demand worldwide. Therefore, the water conveyance operation should be well managed and improved. This paper proposes the development of reliable models able to predict water levels of a real 24.4 km water delivery channel in real time. This is a difficult task because this is a time-delayed dynamical system distributed over a long distance with nonlinear characteristics and external perturbations. Artificial neural networks are used, which are a well-known modeling technique that has been applied to complex and nonlinear systems. Real data is used for the design and validation of the models. The model obtained has the ability to predict water levels along the channel with minimum error, which can result in significant reduction of wasted water when implementing an automatic controller.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationFernandes, M., Oliveira, P., Vieira, S., Mendonça, L., Nabais, J.L., Botto, M.A. (2017). Data Based Modeling of a Large Scale Water Delivery System. In: Garrido, P., Soares, F., Moreira, A. (eds) CONTROLO 2016. Lecture Notes in Electrical Engineering, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-319-43671-5_24pt_PT
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-43671-5_24pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/53730
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.titleData Based Modeling of a Large Scale Water Delivery Systempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarães, Portugal.pt_PT
oaire.citation.endPage284pt_PT
oaire.citation.startPage275pt_PT
oaire.citation.titleCONTROLO 2016. Lecture Notes in Electrical Engineeringpt_PT
oaire.citation.volume402pt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

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