A Secure and Privacy-preserving Protocol for Smart Metering Operational Data Collection
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 84855828
- Type
- D - Journal article
- DOI
-
10.1109/tsg.2019.2906016
- Title of journal
- IEEE Transactions on Smart Grid
- Article number
- -
- First page
- 1
- Volume
- 10
- Issue
- 6
- ISSN
- 1949-3053
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- 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
-
3
- Research group(s)
-
A - Computer Science
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "The first work to use real, fine-grained household electricity data in the imbalance settlement among the energy market participants without revealing individual household data to any participant.
Best PGR Video Award at the flagship smart grid conference - the IEEE SmartGridComm 2017 (https://sgc2017.ieee-smartgridcomm.org/student-competition).
Enabled funding for EUR2,000,000 research project, ""SNIPPET"" (S007619N) awarded by the Flemish Research Foundation - Flanders (FWO) (www.fwo.be/media/984676/sbo_budget-2018_toekenningen-call-2018.pdf)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
