TY  - GEN
AB  - This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.
AU  - Singh, Vinod Kumar,
AU  - Bhoi, Akash Kumar,
AU  - Saxena, Anurag,
AU  - Zobaa, Ahmed F.,
AU  - Biswal, Sandeep,
CN  - TJ808
DO  - 10.1007/978-981-33-6753-1
DO  - doi
ID  - 1435479
KW  - Renewable energy sources.
KW  - Hybrid power systems.
KW  - Electric power systems.
KW  - Énergies renouvelables.
KW  - Énergie
KW  - Réseaux électriques (Énergie)
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6753-1
N2  - This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.
SN  - 9813367539
SN  - 9789813367548
SN  - 9813367547
SN  - 9789813367555
SN  - 9813367555
SN  - 9789813367531
T1  - Renewable energy and future power systems /
TI  - Renewable energy and future power systems /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6753-1
ER  -