Market interfaces for electric vehicle charging
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 49846698
- Type
- D - Journal article
- DOI
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10.1613/jair.5387
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 175
- Volume
- 59
- Issue
- -
- ISSN
- 1076-9757
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- 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
-
4
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Earlier AAMAS conference version won Best Innovative Applications Paper at AAMAS 2016 and was also nominated for Best Paper Award at AAMAS 2016. This extended version was invited to JAIR. A talk and abstract based on this work were invited to the IJCAI Best Sister Conference Track. Dr Stein and Dr Gerding were also invited to present this work at the Nagoya Institute of Technology and Toyota R&D Labs.
AAMAS Paper: https://dl.acm.org/doi/abs/10.5555/2936924.2937053
Evidence Best Application Award: https://www.jair.org/index.php/jair/awardedPapers
Evidence Best Paper Nomination: https://sis.smu.edu.sg/aamas2016?itemid=1261
Evidence IJCAI invitation: https://ijcai-17.org/sister-conf.html
Contacts at Nagoya and Toyota: Takayuki Ito (ito.takayuki@nitech.ac.jp) and Keiichiro Hayakawa (kei-hayakawa@mosk.tytlabs.co.jp)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -