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

Ian Dent; Tony Craig; Uwe Aickelin; Tom Rodden

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

Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden

School of Computer Science

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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.

Original language	English
Publication status	Published - 25 Oct 2012
Event	Digital Futures 2012: the Third Annual Digital Economy All Hands Conference - Aberdeen, UK Duration: 23 Oct 2012 → 25 Oct 2012

Conference

Conference	Digital Futures 2012: the Third Annual Digital Economy All Hands Conference
Period	23/10/12 → 25/10/12

Keywords

Electricity Load Profiles, Clustering, Flexibility, Demand Side Management

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http://www.dotrural.ac.uk/digitalfutures/sites/default/files/digitalfutures2012papers/Papers/Session4BDataMiningMachineLearning/Dent_etal_ClusteringHouseholds.pdf

Cite this

Dent, I., Craig, T., Aickelin, U., & Rodden, T. (2012). Finding the creatures of habit: clustering households based on their flexibility in using electricity. Paper presented at Digital Futures 2012: the Third Annual Digital Economy All Hands Conference. http://www.dotrural.ac.uk/digitalfutures/sites/default/files/digitalfutures2012papers/Papers/Session4BDataMiningMachineLearning/Dent_etal_ClusteringHouseholds.pdf

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Dent, I, Craig, T, Aickelin, U & Rodden, T 2012, 'Finding the creatures of habit: clustering households based on their flexibility in using electricity', Paper presented at Digital Futures 2012: the Third Annual Digital Economy All Hands Conference, 23/10/12 - 25/10/12. <http://www.dotrural.ac.uk/digitalfutures/sites/default/files/digitalfutures2012papers/Papers/Session4BDataMiningMachineLearning/Dent_etal_ClusteringHouseholds.pdf>

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AU - Dent, Ian

AU - Craig, Tony

AU - Aickelin, Uwe

AU - Rodden, Tom

N1 - Note: 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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AB - 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.

KW - Electricity Load Profiles, Clustering, Flexibility, Demand Side Management

M3 - Paper

T2 - Digital Futures 2012: the Third Annual Digital Economy All Hands Conference

Y2 - 23 October 2012 through 25 October 2012

ER -

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

Abstract

Conference

Keywords

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