With growing deployment of smart meters and real-time home
energy-monitoring services, data that allow studying such underlying
determinants are becoming available (for examples of studies
using high-resolution consumption data, see Refs. [7e9]). However,
the methodologies to analyze the data and infer the results that can
be used to support decision making at the household level have not
yet been formalized [6]