A Graph Theory Based Energy Routing Algorithm in Energy Local Area Network
- Submitting institution
-
Loughborough University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 765
- Type
- D - Journal article
- DOI
-
10.1109/tii.2017.2713040
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 3275
- Volume
- 13
- Issue
- 6
- ISSN
- 1551-3203
- Open access status
- Technical exception
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper impacts the state of the art finding potential 10% loss reductions through reduced transmission and distribution network usage by using local optimised power flow. It led to a successful EU H2020 MSCA Individual Fellowship application (scored 97/100, Grant agreement No. 898194, hosted at Loughborough University) to further develop this technology in microgrid applications. This includes future knowledge transfer activities between Delft University of Technology, University of Malaga and Strathclyde University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
