• DocumentCode
    586495
  • Title

    Visualising variations in household energy consumption

  • Author

    Goodwin, S. ; Dykes, Jason

  • Author_Institution
    giCentre, City Univ. London, London, UK
  • fYear
    2012
  • fDate
    14-19 Oct. 2012
  • Firstpage
    217
  • Lastpage
    218
  • 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. A novel interactive interface is planned to evaluate the performance of specifically created energy-based data classifications. 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. The new classifications may also stimulate consumption awareness amongst domestic users. This poster reports on initial visual findings and describes the research methodology, data sources and future visualisation requirements.
  • Keywords
    computer graphics; demography; electricity supply industry; interactive systems; local government; pattern classification; power consumption; power engineering computing; sustainable development; UK energy user type; computer graphics; consumption awareness; demographic characteristics; domestic energy consumption habit; energy industry; energy saving; energy-based data classification; geodemographics; household energy consumption; household energy use; interactive interface; local government; sustainable energy consumption; Carbon dioxide; Data visualization; Electricity; Energy consumption; Sociology; Statistics; Visualization; H.2.8 [Information Systems]: Database Management — Database Applications; H.5.2 [Information Systems]: Information Interfaces and Presentation — User Interfaces; I.3.8 [Computing Methodologies]: Computer Graphics — Applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4673-4752-5
  • Type

    conf

  • DOI
    10.1109/VAST.2012.6400545
  • Filename
    6400545