Consumer Data Research Centre

Identifying the Fuel Poor from Consumption Behaviour: Towards an Integrated Interpretative Framework of Domestic Energy Consumption in the UK

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.

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Anastasia Ushakova, Paul Longley and  Slava Mikhaylov