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Correlating water consumption behaviour with billing, infra-structure and social demographic factors

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dc.contributor.author Loureiro, D. pt_BR
dc.contributor.author Coelho, S. T. pt_BR
dc.contributor.author Rebelo, M. pt_BR
dc.contributor.author Ramalho, P. pt_BR
dc.contributor.author Alegre, H. pt_BR
dc.contributor.author Covas, D. pt_BR
dc.contributor.author Pina, A. pt_BR
dc.date.accessioned 2009-10-16T18:14:14Z pt_BR
dc.date.accessioned 2010-04-26T08:58:25Z pt_BR
dc.date.accessioned 2014-10-20T12:59:05Z pt_BR
dc.date.accessioned 2017-04-13T11:38:17Z
dc.date.available 2009-10-16T18:14:14Z pt_BR
dc.date.available 2010-04-26T08:58:25Z pt_BR
dc.date.available 2014-10-20T12:59:05Z pt_BR
dc.date.available 2017-04-13T11:38:17Z
dc.date.issued 2009-09 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/17123
dc.description.abstract This paper describes a study of residential consumption characterization at the district metering area (DMA) level, taking into consideration billing, socio-demographic and infrastructure-related factors. The article describes the methodology used and presents the results of its application to a set of 20 network districts in the Lisbon (Portugal) metropolitan region, over a period of 12 months of continuous monitoring, including the analysis of consumption scenarios; the estimation of daily consumption patterns; and the study of the most relevant factors that influence consumption. The modelling of consumption patterns involved the analysis of large consumers, the identification of consumption scenarios and the estimation of daily consumption patterns. Multivariate statistical analyses were carried out to obtain factors and identify the correlations with consumption statistics. The main correlations with daily, weekly and seasonal statistics are shown. pt_BR
dc.format.extent 73 bytes pt_BR
dc.format.mimetype text/plain pt_BR
dc.language.iso eng pt_BR
dc.rights restrictedAccess pt_BR
dc.title Correlating water consumption behaviour with billing, infra-structure and social demographic factors pt_BR
dc.type conferenceObject pt_BR
dc.description.figures 15 pt_BR
dc.description.tables 1 pt_BR
dc.description.pages 7p pt_BR
dc.identifier.seminario CCWI 2009 pt_BR
dc.identifier.local Reino Unido pt_BR
dc.description.sector DHA/NES pt_BR
dc.description.year 2009 pt_BR
dc.description.data 1-3 Setembro 2009 pt_BR


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