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.
