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Artificial Intelligence Aided Predictive Control of Power Electronic Converters for Distributed Generation Systems, Electric Drivers and Microgrids
Gómez, Pere Izquierdo
(PhD Student)
Dragicevic, Tomislav
(Main Supervisor)
Mijatovic, Nenad
(Supervisor)
Wang, Huai
(Examiner)
Yang, Tao
(Examiner)
Power and Energy Systems
E-mobility and Prosumer Integration
Department of Wind and Energy Systems
PowerLabDK
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2020
→
14/08/2024
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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.
Resource-efficient Machine Learning
Keyphrases
100%
Power Electronic Systems
Keyphrases
100%
Surrogate Model
Keyphrases
100%
Electronic System
Computer Science
100%
Machine Learning
Computer Science
100%
Learning System
Computer Science
100%
Power Electronics
Engineering
100%
Model Training
Keyphrases
60%
Research output
Research output per year
2023
2023
2023
1
Ph.D. thesis
Research output per year
Research output per year
Resource-efficient Machine Learning for Power Electronic Systems
Gómez, P. I.
,
2023
, Risø, Roskilde, Denmark:
DTU Wind and Energy Systems
.
164 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Surrogate Model
100%
Power Electronic Systems
100%
Resource-efficient Machine Learning
100%
Electronic System
100%
Machine Learning
100%
891
Downloads (Orbit)