Appliance electrical consumption modelling at scale using smart meter data
- Submitting institution
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University of Strathclyde
- Unit of assessment
- 12 - Engineering
- Output identifier
- 111820061
- Type
- D - Journal article
- DOI
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10.1016/j.jclepro.2018.03.163
- Title of journal
- Journal of Cleaner Production
- Article number
- -
- First page
- 237
- Volume
- 187
- Issue
- -
- ISSN
- 0959-6526
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research was a key reference for the award of the 4 year €4M EU H2020 ‘GECKO’ project (https://cordis.europa.eu/project/id/955422, ref. 955422). It led to an invitation to prepare an expert insight article (https://apolitical.co/en/solution_article/the-risks-and-benefits-of-ai-smart-meters) published in global government learning platform ‘Apolitical’ (contact: Tom Jeffery, Editor-in-chief). This research also led to an invited research tutorial at the IEEE EnergyCon-2018 conference (contact: Elias Kyriakides, General Chair).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -