TY - JOUR
T1 - Automated Household Water End-Use Disaggregation through Rule-Based Methodology
AU - Mazzoni, Filippo
AU - Alvisi, Stefano
AU - Franchini, Marco
AU - Ferraris, Marco
AU - Kapelan, Zoran
N1 - Accepted Author Manuscript
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85103042161&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)WR.1943-5452.0001379
DO - 10.1061/(ASCE)WR.1943-5452.0001379
M3 - Article
AN - SCOPUS:85103042161
SN - 0733-9496
VL - 147
JO - Journal of Water Resources Planning and Management
JF - Journal of Water Resources Planning and Management
IS - 6
M1 - 04021024
ER -