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

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Dent, Ian, Craig, Tony, Aickelin, Uwe and Rodden, Tom (2012) Finding the creatures of habit: clustering households based on their flexibility in using electricity. In: Digital Futures 2012: the Third Annual Digital Economy All Hands Conference, 23-25 Oct 2012, Aberdeen, UK.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/711773
Additional Information: Published in: Digital Futures 2012: the Third Annual Digital Economy All Hands Conference, United Kingdom, 23-25 October. New York : ACM, 2012.
Keywords: Electricity Load Profiles, Clustering, Flexibility, Demand Side Management
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 20 Jun 2016 10:11
Last Modified: 04 May 2020 16:34
URI: https://eprints.nottingham.ac.uk/id/eprint/34127

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