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Real-time digital optimisation and decision making for energy and transport systems
Weiland, Michele
(Principal Investigator)
EPCC
Overview
Fingerprint
Research output
(1)
Project Details
Status
Active
Effective start/end date
1/05/23
→
31/03/25
Funding
Engineering and Physical Sciences Research Council:
£307,196.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Learning System
Computer Science
100%
Artificial Intelligence
Computer Science
100%
Machine Learning
Computer Science
100%
Energy Efficiency
Computer Science
40%
Hardware Platform
Computer Science
20%
Best Practice
Computer Science
20%
Learning Framework
Computer Science
20%
Research output
Research output per year
2024
2024
2024
1
Paper
Research output per year
Research output per year
Sustainable AI: Experiences, Challenges & Recommendations
Broadway, E.
,
Lee, J.
&
Weiland, M.
,
6 Sept 2024
, (Accepted/In press).
Research output
:
Contribution to conference
›
Paper
›
peer-review
Open Access
File
Artificial Intelligence
100%
Machine Learning
100%
Learning System
100%
Energy Efficiency
40%
Best Practice
20%