A game theoretic optimization framework for home demand management incorporating local energy resources
- Submitting institution
-
Loughborough University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 385
- Type
- D - Journal article
- DOI
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10.1109/TII.2015.2390035
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 353
- Volume
- 11
- Issue
- 2
- ISSN
- 1551-3203
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work has been highlighted in Toshiba’s internal research journal and taken forward by Toshiba in their EU FP7 smart grid project http://sunseed-fp7.eu/and the £293K EPSRC project EP/M015475/1. The work has also been adopted by several researchers, e.g., DOI: 10.1109/TETCI.2018.2865223.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
