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Reference Number EP/M008223/1
Title Data-Driven Methods for a New National Household Energy Survey
Status Completed
Energy Categories ENERGY EFFICIENCY(Residential and commercial) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr N Goddard
No email address given
Sch of Informatics
University of Edinburgh
Award Type Standard
Funding Source EPSRC
Start Date 31 December 2014
End Date 30 June 2018
Duration 42 months
Total Grant Value £596,155
Industrial Sectors Energy
Region Scotland
Programme Energy : Energy
Investigators Principal Investigator Dr N Goddard , Sch of Informatics, University of Edinburgh (99.997%)
  Other Investigator Professor D Arvind , Sch of Informatics, University of Edinburgh (0.001%)
Dr C Sutton , Sch of Informatics, University of Edinburgh (0.001%)
Dr D (David ) Shipworth , UCL Energy Institute, University College London (0.001%)
  Industrial Collaborator Project Contact , Department of Energy & Climate Change (0.000%)
Web Site
Abstract We propose a programme of research leading to the establishment of anew methodology for surveying household energy use nationally, to complement existing methods (e.g., the English Housing Survey and regional equivalents), which leverages the rollout of Smart Meters to achieve cost-effective, detailed understanding of energy use behaviours. The key enablers of this new methodology are: 1) the Smart Meters themselves, 2) advances in semi-supervised disaggregation methods which can infer the behaviours that result in energy use, and 3) other wireless sensors placed in some households to bootstrap the disaggregation methods. The output will be twofold: a validated scalable novel survey method suitable for national rollout, providing significant additional data on energy consumption in UK homes; and 2)an assessment of which variables can be effectively surveyed with this method.
Publications (none)
Final Report (none)
Added to Database 13/03/15