Data-Driven Methods for a New National Household Energy Survey

Completed

Energy Efficiency(Residential and commercial)

Basic and strategic applied research

PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)

Not Cross-cutting

Dr N Goddard
Sch of Informatics
University of Edinburgh

Standard

EPSRC

31 December 2014

30 June 2018

42 months

£596,155

Energy

Scotland

Energy : Energy

Dr N Goddard, Sch of Informatics, University of Edinburgh

Professor D Arvind, Sch of Informatics, University of Edinburgh
Dr D Shipworth, UCL Energy Institute, University College London
Dr C Sutton, Sch of Informatics, University of Edinburgh

Project Contact, Department of Energy & Climate Change

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.

13/03/15