Automated Household Water End-Use Disaggregation through Rule-Based Methodology
Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 6
Abstract
Application of smart meters to the residential sector can provide insight into where and when water is used, thereby enabling utilities to achieve an efficient management of water distribution systems. Moreover, detailed information about domestic water use can be obtained by disaggregating smart meter data collected at the household inlet point. In this paper, a rule-based, automated methodology for disaggregating household water-use data into end uses is presented. The methodology is applicable to 1-min temporal resolution data, whose granularity is slightly lower than the one generally used in other methodologies, potentially allowing it to be applied to several contexts in the field of water-use monitoring. The methodology was set up and validated with data collected for 2 months through intrusive monitoring of four households in Bologna, Italy, and represents a pioneering case in which disaggregation performance is directly assessed by the comparison against data collected at each end use. The results obtained showed that the methodology enables household water use to be efficiently disaggregated even if detailed information about end-use features is not available.
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Data Availability Statement
The data and code generated and used during the study are available in an online repository in accordance with funder data retention policies. Specifically, anonymized water-use data and the developed code are available on the Zenodo repository (Mazzoni et al. 2020).
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Information & Authors
Information
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Journal of Water Resources Planning and Management
Volume 147 • Issue 6 • June 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Oct 8, 2019
Accepted: Dec 20, 2020
Published online: Mar 17, 2021
Published in print: Jun 1, 2021
Discussion open until: Aug 17, 2021
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