  UK electricity market changes provide opportunities to alter households'
electricity usage patterns for the benefit of the overall electricity network.
Work on clustering similar households has concentrated on daily load profiles
and the variability in regular household behaviours has not been considered.
Those households with most variability in regular activities may be the most
receptive to incentives to change timing.
  Whether using the variability of regular behaviour allows the creation of
more consistent groupings of households is investigated and compared with daily
load profile clustering. 204 UK households are analysed to find repeating
patterns (motifs). Variability in the time of the motif is used as the basis
for clustering households. Different clustering algorithms are assessed by the
consistency of the results.
  Findings show that variability of behaviour, using motifs, provides more
consistent groupings of households across different clustering algorithms and
allows for more efficient targeting of behaviour change interventions.
