The energy use of individuals in households results from their activities within the household. These individuals are targeted by information campaigns aiming at reducing household energy use.
Presented is an approach that focuses on the sequence of activities people perform during a day and how these activities affect energy use. The approach examines how individuals with divergent daily activity sequences may be clustered into aggregate activity patterns. The characteristics of these patterns are explored, as are the differences between them. The timing of energy use generated from activities during the individuals’ weekday in each cluster is considered.
In this way, daily life is approached from the perspective of individuals’ daily activities, which yields deeper, contextually anchored insights that can help shape information that individuals may relate to the structure of their daily life.
Notable results from this approach are that background variables have minor effects on the patterns, and that energy use for each pattern is varied and has its own character, and thus different strategies should be employed to target them. Argued is that in relating information to everyday activities, individuals have greater opportunities to recognize their everyday situation, which may increase their willingness to act on the information.