Projects per year
Abstract
Your energy consumption says a lot about you. Should companies have unfettered access to that data?
Original language | English |
---|---|
Type | Apolitical |
Media of output | Opinion blog post |
Place of Publication | London |
Publication status | Published - 11 May 2020 |
Keywords
- energy consumption data
- smart meter
- household energy consumption
Fingerprint Dive into the research topics of 'The risks and benefits of AI smart meters'. Together they form a unique fingerprint.
Projects
- 3 Finished
-
SENSIBLE: SENSors and Intelligence in BuiLt Environment (SENSIBLE) MSCA RISE
Stankovic, L., Glesk, I., Gleskova, H. & Stankovic, V.
European Commission - Horizon 2020
1/01/17 → 31/12/20
Project: Research
Research output
- 4 Article
-
Non-intrusive load disaggregation solutions for very low-rate smart meter data
Zhao, B., Ye, M., Stankovic, L. & Stankovic, V., 15 Jun 2020, In: Applied Energy. 268, 114949.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus) -
Appliance electrical consumption modelling at scale using smart meter data
Murray, D. M., Stankovic, L., Stankovic, V. & Espinoza-Orias, N. D., 20 Jun 2018, In: Journal of Cleaner Production. 187, p. 237-249 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)41 Downloads (Pure) -
Measuring the energy intensity of domestic activities from smart meter data
Stankovic, L., Stankovic, V., Liao, J. & Wilson, C., 1 Dec 2016, In: Applied Energy. 183, p. 1565-1580 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile47 Citations (Scopus)445 Downloads (Pure)
Activities
- 1 Membership of network
-
Ethical AI Network (External organisation)
Lina Stankovic (Member)
Jun 2019 → …Activity: Membership types › Membership of network