Recent innovation to energy provision in the UK has been the introduction of smart meter technology. Smart meters, which digitally send energy usage readings to a supplier, aim to provide more accurate tracking of consumption for both the supplier and customer. However, the data produced by these meters can also offer a useful source of behavioural insights for the wider research community. For example, these data provide ‘complete’ consumer records on a fine temporal scale, which directly correspond with a single household.
In collaboration with a major UK domestic energy provider, this research proposes an approach for identifying vulnerable customers through the utilisation of Big Data analytics. It presents spatio-temporal analyses of consumption trends and identifies unique behavioural groups using clustering techniques.
Anastasia Ushakova, Paul Longley and Slava Mikhaylov