Categorisation of Urban Water Consumptions

Joaquim Leitão, Nuno Simões, José Alfeu Marques, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Achieving an optimised management of water supply infrastructures is a very important and challenging task, namely in urban environments. The identification and prediction of actual water consumption patterns can be exploited to improve the overall performance of water supply infrastructures. This work considers the application of pattern recognition techniques on water consumption time-series to quantify the time distribution of common consumption behaviours in urban environments. Three groups representing typical consumption patterns have been considered: one characterised by residual consumptions, which occur during the summer months of June and July, while the remaining two consist of significant consumption during the day, with differences taking place during night periods – the first group, more prevalent during warmer months, is represented by higher consumptions during the night, when compared with the second group, more representative of colder months, but showing also some expression all year round. Results also demonstrate that an automatic categorisation of urban water consumptions can be carried out along with the identification of specific time periods in which each pattern occurs.
Original languageEnglish
Title of host publicationHIC 2018. 13th International Conference on Hydroinformatics
EditorsGoffredo La Loggia, Gabriele Freni, Valeria Puleo, Mauro De Marchis
Number of pages8
Publication statusPublished - 2018

Publication series

NameEPiC Series in Engineering


  • Pattern recognition
  • Time series clustering
  • Water consumption patterns
  • Water management


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