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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Goodwin, S.; Dykes, J. (2012)
Languages: English
Types: Unknown
Subjects: Z665, G1, GA
A vast amount of quantitative data is available within the energy sector, however, there is limited understanding of the relationships between neighbourhoods, demographic characteristics and domestic energy consumption habits. We report upon research that will combine datasets relating to energy consumption, saving and loss with geodemographics to enable better understanding of energy user types. A novel interactive interface is planned to evaluate the performance of these energy-based 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. Energy based neighbourhood classifications will also promote consumption awareness amongst domestic users. This poster describes the research methodology, data sources and visualization requirements.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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