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Physics-Informed Neural Networks for Power Systems
Stiasny, Jochen Bernhard
(PhD Student)
Chatzivasileiadis, Spyros
(Main Supervisor)
Pinson, Pierre
(Supervisor)
Chertkov, Michael
(Examiner)
Ernst, Damien
(Examiner)
Power and Energy Systems
Power Systems
Department of Wind and Energy Systems
Management Science
Operations Research
Department of Technology, Management and Economics
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
15/01/2020
→
16/11/2023
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.
Systems Dynamics
Engineering
100%
Power Engineering
Engineering
100%
Physics-Informed Neural Network
Computer Science
100%
System Dynamics
Computer Science
100%
Energy Transition
Engineering
66%
Dynamic Behavior
Engineering
66%
Bus System
Engineering
66%
Power Grid
Engineering
66%
Research output
Publications per year
2023
2023
2023
1
Ph.D. thesis
Publications per year
Publications per year
Physics-Informed Neural Networks for Power System Dynamics
Stiasny, J. B.,
2023
, Risø, Roskilde, Denmark:
DTU Wind and Energy Systems
.
196 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Power Engineering
100%
Systems Dynamics
100%
Physics-Informed Neural Network
100%
System Dynamics
100%
Neural Network
100%
392
Downloads (Pure)