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Comparison of reconstruction methods for water supply systems flow rate time series

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dc.contributor.authorAscenção, Carlos
dc.contributor.authorFerreira, Bruno
dc.contributor.authorBarreira, Raquel
dc.contributor.authorCarriço, Nelson
dc.date.accessioned2024-02-07T14:37:25Z
dc.date.available2024-02-07T14:37:25Z
dc.date.issued2021
dc.description.abstractThe purpose of this paper is to compare the performance of five uni- variate models for the reconstruction of flow rate time series. Errors in the meas- urements may occur due to problems in the sensor or in the communication sys- tem with data logger, thus generating missing data in the flow rate time series. The presence of missing values in flow rate data restricts its use in network op- eration processes. The performance of seasonal ARIMA, Standard and double seasonality Holt-Winters, and original and improved Quevedo approach are as- sessed. The analysis is made considering a real Portuguese case study and 1- month of flow rate data at 1-hour and 10-minute period. The holidays compared to the weekdays show great differences in consumption patterns. For this reason, the effect of forecasting holidays is assessed. Obtained results evidence that the improved Quevedo model can cope with different time step intervals and type of day being forecasted, with a reduced computation timept_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAscenção, C., Ferreira, B., Barreira, R., & Carriço, N. (2021). Comparison of reconstruction methods for water supply systems flow rate time series. In J.R. Galvão et al. (eds), Proceedings of the 1st International Conference on Water Energy Food and Sustainability (ICoWEFS 2021). ICoWEFS 2021. Springer, Cham, 851-859pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-030-75315-3_90pt_PT
dc.identifier.isbn978-3-030-75315-3
dc.identifier.urihttp://hdl.handle.net/10400.26/49679
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.titleComparison of reconstruction methods for water supply systems flow rate time seriespt_PT
dc.typebook part
dspace.entity.typePublication
person.familyNameBarreira
person.familyNameCarriço
person.givenNameRaquel
person.givenNameNelson
person.identifierH-2945-2012
person.identifier.ciencia-id011B-AC27-378A
person.identifier.ciencia-id3A1B-E21C-C25A
person.identifier.orcid0000-0002-8326-1593
person.identifier.orcid0000-0002-2474-7665
person.identifier.scopus-author-id55191330100
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication11adc260-5103-4d3a-887f-6ae77108f173
relation.isAuthorOfPublication50e5fafa-1d0d-440e-aebd-3a1a49f136c3
relation.isAuthorOfPublication.latestForDiscovery50e5fafa-1d0d-440e-aebd-3a1a49f136c3

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