An approach for assessing clustering of households by electricity usage
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 o...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Online Access: | https://eprints.nottingham.ac.uk/2033/ |
| _version_ | 1848790709440610304 |
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| author | Dent, Ian Craig, Tony Aickelin, Uwe Rodden, Tom |
| author_facet | Dent, Ian Craig, Tony Aickelin, Uwe Rodden, Tom |
| author_sort | Dent, Ian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:16:55Z |
| format | Conference or Workshop Item |
| id | nottingham-2033 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:16:55Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-20332020-05-04T20:22:25Z https://eprints.nottingham.ac.uk/2033/ An approach for assessing clustering of households by electricity usage Dent, Ian Craig, Tony Aickelin, Uwe Rodden, Tom 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. 2012 Conference or Workshop Item PeerReviewed 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) |
| spellingShingle | Dent, Ian Craig, Tony Aickelin, Uwe Rodden, Tom An approach for assessing clustering of households by electricity usage |
| title | An approach for assessing clustering of households by electricity usage |
| title_full | An approach for assessing clustering of households by electricity usage |
| title_fullStr | An approach for assessing clustering of households by electricity usage |
| title_full_unstemmed | An approach for assessing clustering of households by electricity usage |
| title_short | An approach for assessing clustering of households by electricity usage |
| title_sort | approach for assessing clustering of households by electricity usage |
| url | https://eprints.nottingham.ac.uk/2033/ |