Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
- Submitting institution
-
London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 222413
- Type
- D - Journal article
- DOI
-
10.1016/j.enbuild.2017.02.004
- Title of journal
- Energy and Buildings
- Article number
- -
- First page
- 134
- Volume
- 141
- Issue
- -
- ISSN
- 0378-7788
- Open access status
- Access exception
- Month of publication
- February
- Year of publication
- 2017
- URL
-
https://www.sciencedirect.com/science/article/pii/S0378778816317261
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
A - The BioEngineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper demonstrated the first use of Radar and an open-source sensor network for energy data disaggregation, highlighting the energy gap between design and occupancy. This work mapped occupancy and individual appliance use provisioning automated energy reduction actions. The work was supported by an EPSRC grant on automated reduction of energy use in indoor environments (EP/K002473/1, £911k, “Digital Agent Networking for Customer Energy Reduction (DANCER),” and led to EPSRC/TSB funded project, "Energy Management and Analysis Exploiting Existing Building Management Systems Infrastructure and Data", EP/M506734/1 2014-17. A PhD student graduated with a thesis based on the work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -