The report focuses on the development and application of methodologies for identifying a small collection of representative energy use load profiles from large sets of smart metering data (collectively known as Structured Aggregation). The approach draws on data compression and clustering algorithms to group similarly behaving energy consumers from which a single representative consumer is drawn.

The report includes preliminary findings from the application of Structured Aggregation to more than 7,000 Smart Grid, Smart City (SGSC) residential customer data and to a collection of more than 200 zone substations in the Energex supply region. For SGSC, five distinct behavioural types are identified, while nine types of behaviour are seen across the zone substation set.

Note that a revised (translated and modified) form of the input Energex zone substation data is now available on EUDM (see the Related Resources listing on this page).