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

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

Authors

Ian Dent

Tony Craig

Uwe Aickelin

TOM RODDEN TOM.RODDEN@NOTTINGHAM.AC.UK
Professor of Computer Science



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. (2012). Finding the creatures of habit: clustering households based on their flexibility in using electricity

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 http://eprints.nottingham.ac.uk/id/eprint/34127
Publisher URL http://www.dotrural.ac.uk/digitalfutures/sites/default/files/digitalfutures2012papers/Papers/Session4BDataMiningMachineLearning/Dent_etal_ClusteringHouseholds.pdf
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.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.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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