Finding the creatures of habit: clustering households based on their flexibility in using electricity

Dent, Ian; Craig, Tony; Aickelin, Uwe; Rodden, Tom

Abstract

Changes in the UK electricity market, particularly with the roll out of smart meters, will provide greatly increased opportunities for initiatives intended to change households' electricity usage patterns for the benefit of the overall system. Users show differences in their regular behaviours and clustering households into similar groupings based on this variability provides for efficient targeting of initiatives. Those people who are stuck into a regular pattern of activity may be the least receptive to an initiative to change behaviour. A sample of 180 households from the UK are clustered into four groups as an initial test of the concept and useful, actionable groupings are found.

Citation

Dent, I., Craig, T., Aickelin, U., & Rodden, T. Finding the creatures of habit: clustering households based on their flexibility in using electricity. Presented at Digital Futures 2012: the Third Annual Digital Economy All Hands Conference

• Conference Name: Digital Futures 2012: the Third Annual Digital Economy All Hands Conference
• End Date: Oct 25, 2012
• Acceptance Date: Jan 1, 2012
• Publication Date: Oct 25, 2012
• Deposit Date: Jun 20, 2016
• Publicly Available Date: Jun 20, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: Electricity Load Profiles, Clustering, Flexibility, Demand Side Management
• Public URL: https://nottingham-repository.worktribe.com/output/711773
• Publisher URL: http://www.dotrural.ac.uk/digitalfutures/sites/default/files/digitalfutures2012papers/Papers/Session4BDataMiningMachineLearning/Dent_etal_ClusteringHouseholds.pdf
• Additional Information: Published in: Digital Futures 2012: the Third Annual Digital Economy All Hands Conference, United Kingdom, 23-25 October. New York : ACM, 2012.
• Contract Date: Jun 20, 2016