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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 profilesand the variability in regular household behaviours has not been considered.Those households with most variability in regular activities may be the mostreceptive to incentives to change timing.  Whether using the variability of regular behaviour allows the creation ofmore consistent groupings of households is investigated and compared with dailyload profile clustering. 204 UK households are analysed to find repeatingpatterns (motifs). Variability in the time of the motif is used as the basisfor clustering households. Different clustering algorithms are assessed by theconsistency of the results.  Findings show that variability of behaviour, using motifs, provides moreconsistent groupings of households across different clustering algorithms andallows for more efficient targeting of behaviour change interventions.

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?