Machine Learning Integration in Power Electronics

Essential Principles, Implementation Practices, and Industry Applications

,

Éditeur :

Springer

Paru le : 2026-01-01

This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control systems. Machine learning applications in power electronics delve into the transformative potential...
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Éditeur

Collection
n.c

Parution
2026-01-01

Pages
161 pages

EAN papier
9789819538447

Hasan Ali Gamal Al-kaf received the B.S. (Hons.) degree in electronic engineering and the M.S. degree in electrical engineering from Universiti Tun Hussein Onn Malaysia, Johor, Malaysia, in 2016 and 2018, respectively. He is currently pursuing the Ph.D. degree in electrical and computer engineering at Ajou University, Suwon, Korea. His main areas of research interests are power electronics, motor drives, multilevel inverters, artificial intelligence, and machine learning.  Prof. Kyo-Beum Lee received the B.S. and M.S. degrees in electrical and electronic engineering from Ajou University, Suwon, Korea, in 1997 and 1999, respectively. He received the Ph.D. degree in electrical engineering from Korea University, Seoul, Korea, in 2003. From 2003 to 2006, he was with the Institute of Energy Technology, Aalborg University, Aalborg, Denmark. From 2006 to 2007, he was with the Devision of Electronics and Information Engineering, Jeonbuk National University, Jeonju, Korea. In 2007, he joined the Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea. He is Associate Editor of IEEE Transactions on Power Electronics. His research interests include electric machine drives, renewable power generations, and electric vehicle applications.

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EAN PDF
9789819538454
Prix
179,34 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
17951 Ko
EAN EPUB
9789819538454
Prix
179,34 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
46397 Ko

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