Artificial intelligence (AI)-based optimization of power electronic converters for improved power system stability and performance
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
ISBN (print)
979-8-3503-2078-7
ISBN (electronic)
979-8-3503-2077-0
ISBN (other)
979-8-3503-2076-3
Name of conference
International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
Publisher
IEEE
Publication forum ID
5475
Publication forum level
1
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2023
Reporting year
2023
DOI
10.1109/sdemped54949.2023.10271490
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
power electronic converters; artificial intelligence; optimization; renewable energy generation
Funding information
Funding information in the publication
This article is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101079242 – HORIZON-WIDERA-2021-ACCESS-03.
Source database ID
Scopus ID
Scopus:85175235870