Creating personalised energy plans: from groups to individuals using Fuzzy C Means Clustering

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Dent, Ian, Wagner, Christian, Aickelin, Uwe and Rodden, Tom Creating personalised energy plans: from groups to individuals using Fuzzy C Means Clustering. In: Digital Engagement 11, November 2011, Dundee, Scotland. (Unpublished)

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Abstract

Changes in the UK electricity market mean that domestic

users will be required to modify their usage behaviour in

accordance with energy eciency targets. Clustering allows

usage data, collected at the household level, to be clustered

into groups and assigned a stereotypical prole which may

be used to provide individually tailored energy plans. Fuzzy

C Means extends previous work based around crisp K means

clustering by allowing a household to be a member of multi-

ple customer prole groups to dierent degrees, thus provid-

ing the opportunity to make personalised oers to the house-

hold dependent on their degree of membership of each group.

In addition, feedback can be provided on how household's

changing behaviour is moving them towards more "green" or

cost eective stereotypical usage.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/1026069
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 17 Jun 2013 15:15
Last Modified: 04 May 2020 20:34
URI: https://eprints.nottingham.ac.uk/id/eprint/2023

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