Temporal Self-Regulation of Energy Demand
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-4063
- Type
- D - Journal article
- DOI
-
10.1109/tii.2016.2554519
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 1196
- Volume
- 12
- Issue
- 3
- ISSN
- 1551-3203
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
E - DSS (Distributed Systems and Services)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Investigates the important and significant topic of the temporal dynamics of energy demand, and the solution was validated using the real-world data from a Smart Grid pilot project. It was nominated for appearance in the “The IE Technology News (ITeN)” which “provides the extended abstracts of a few timely, thought-provoking articles from IES transactions, magazine and conference proceedings periodically”. http://www.ieee-ies.org/pubs/ie-technology-news. Based on this work, the author Akshay Uttama Nambi was awarded his PhD at Delft University of Technology, working now for Microsoft Research.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
