Goodwin, S. & Dykes, J. (2012). Visualising Variations in Household Energy Consumption. Poster presented at the IEEE Conference on Visual Analytics Science and Technology (VAST), 14 - 19 Oct 2012, Seattle, Washington, US.
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Abstract
There is limited understanding of the relationship between neighbourhoods, demographic characteristics and domestic energy consumption habits. We report upon research that combines datasets relating to household energy use with geodemographics to enable better understanding of UK energy user types. The research aims to help local governments and the energy industry in targeting households and populations for new energy saving schemes and in improving efforts to promote sustainable energy consumption. Energy-based data classifications may also stimulate consumption awareness amongst domestic users. A novel interactive interface is planned to evaluate the performance of the new classifications. This poster reports on initial visual findings and describes the research methodology, data sources and future visualisation requirements.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Uncontrolled Keywords: | Energy Consumption, Geodemographics, Classification, Data Visualisation, Visual Analytics |
| Subjects: | Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | School of Informatics > Department of Information Science School of Informatics > giCentre |
| URI: | http://openaccess.city.ac.uk/id/eprint/1294 |
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