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Dent, Ian, Craig, Tony, Aickelin, Uwe and Rodden, Tom (2012) An approach for assessing clustering of households by electricity usage. In: UKCI 2012, the 12th Annual Workshop on Computational Intelligence, 5-7 Sept 2012, Edinburgh, Scotland. (Unpublished)

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Abstract

How a household varies their regular usage of electricity

is useful information for organisations to allow accurate

targeting of behaviour modification initiatives with the aim of improving the overall efficiency of the electricity network. The variability of regular activities in a household is one possible indication of that household’s willingness to accept incentives to change their behaviour.

An approach is presented for identifying a way of representing the variability of a household’s behaviour and developing an efficient way of clustering the households, using these measures of variability, into a few, usable groupings.

To evaluate the effectiveness of the variability measures, a

number of cluster validity indexes are explored with regard to how the indexes vary with the number of clusters, the number of attributes, and the quality of the attributes. The Cluster Dispersion Indicator (CDI) and the Davies-Boulden Indicator(DBI) are selected for future work developing various indicators of household behaviour variability.

The approach is tested using data from 180 UK households

monitored for over a year at a sampling interval of 5 minutes.Data is taken from the evening peak electricity usage period of 4pm to 8pm.

Item Type:	Conference or Workshop Item (Paper)
RIS ID:	https://nottingham-repository.worktribe.com/output/1008621
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	24 Jun 2013 09:17
Last Modified:	04 May 2020 20:22
URI:	https://eprints.nottingham.ac.uk/id/eprint/2033

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