The application of a data mining framework to energy usage profiling in domestic residences using UK data

Dent, Ian; Aickelin, Uwe; Rodden, Tom

Abstract

Changes in the UK electricity market mean that domestic
users will be required to modify their usage behaviour in order that supplies can be maintained. Clustering allows usage proles collected at the household level to be clustered into groups and assigned a stereotypical prole which can be used to target marketing campaigns. Fuzzy C Means clustering extends this by allowing each household to be a member of many groups and hence provides the opportunity to make personalised offers to the household dependent on their degree of membership of each group. In addition, feedback can be provided on how user's changing behaviour is moving them towards more "green" or cost effective stereotypical usage.

Citation

Dent, I., Aickelin, U., & Rodden, T. The application of a data mining framework to energy usage profiling in domestic residences using UK data. Presented at Buildings Don't Use Energy, People Do: Research Students' Conference

• Conference Name: Buildings Don't Use Energy, People Do: Research Students' Conference
• Deposit Date: Jun 24, 2013
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/1010563