This study uses high-frequency water consumption data from 311 smart meters to link consumption with census data. For this purpose a well-established procedure was adopted. Results include the identification of the socio-demographic profiles associated to low, medium, medium-high and high water consumption groups and distinct daily consumption patterns in terms of the period of the day with maximum consumption: (i) morning period, (ii) morning and lunch period, (iii) dinner period. The main socio-demographic drivers to accurately understand water consumption within their different patterns were identified and refer to the characteristics of the population – rented middle size dwellings, middle size families, average educated (high school level) and professionally active population.
Linking water consumption smart metering with census data to improve demand management
D. Loureiro, M. Rebelo, A. Mamade, P. Vieira, R. Ribeiro; Linking water consumption smart metering with census data to improve demand management. Water Science and Technology: Water Supply 1 December 2015; 15 (6): 1396–1404. doi: https://doi.org/10.2166/ws.2015.086
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