Soft Computing Applications in Modern Power and Energy Systems (Hardcover)

Krishna Murari

ISBN 10: 9811983526 / ISBN 13: 9789811983528

Edité par Springer Verlag, Singapore, Singapore, 2023

A propos de cet article

Hardcover. This book provides rigorous discussions, case studies, and recent developments in soft computing and its application in power systems enabled with power electronics-based equipment, biomedical engineering, and image processing. The readers would be benefitted from enhancing their knowledge and skills in the domain areas. This book also helps the readers in developing new and innovative ideas. This book provides rigorous discussions, case studies, and recent developments in soft computing and its application in power systems enabled with power electronics-based equipment, biomedical engineering, and image processing. This book also helps the readers in developing new and innovative ideas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789811983528

Détails bibliographiques

Titre : Soft Computing Applications in Modern Power ...

Éditeur : Springer Verlag, Singapore, Singapore

Date d'édition : 2023

Reliure : Hardcover

Etat : new

Edition : Edition originale

A propos de ce titre

Synopsis :

This book provides rigorous discussions, case studies, and recent developments in soft computing and its application in power systems enabled with power electronics-based equipment, biomedical engineering, and image processing. The readers would be benefitted from enhancing their knowledge and skills in the domain areas. This book also helps the readers in developing new and innovative ideas.

À propos de l?auteur:

Krishna Murari received the B.Tech degree in electrical engineering from WBUT, India, in 2010, the M.E degree in power systems from Thapar University, India in 2014, and the Ph.D. degree in electrical engineering from the Indian Institute of Technology Roorkee, India in 2019. He is currently a Postdoctoral Research Associate with the Electrical and Computer Engineering Department, Clarkson University, Potsdam, New York, USA. Previously, he was a Postdoctoral Fellow with the Energy Production, and Infrastructure Center (EPIC), University of North Carolina at Charlotte, North Carolina, USA. He is a member of IEEE and has published several papers in journals and conference proceedings. His current research areas are AC-DC load flow, distribution network pricing, demand-side management, distribution system modeling and analysis, power system computing, soft computing, and its application to power system problems and smart grid. He has some significant research outcomes in the field of AC-DC distribution system analysis and planning.

Narayana Prasad Padhy received a Ph.D. degree in power systems engineering from Anna University, Chennai, India, in 1997. He is an institute chair professor with the Department of Electrical Engineering, at the Indian Institute of Technology Roorkee, India. He is heading many national and international projects, such as DSIDES, ID-EDGe, and HEAPD. He is also part of other international projects, namely Indo-US UI-ASSIST and Indo UK ZED-I. His research interests include power system analysis, optimization, demand-side management, and smart grids. Dr. Padhy is also a fellow of the Indian National Academy of Engineers, Institution of Engineering and Technology, and Institution of Engineers India.

Sukumar Kamalasadan received his B.Tech. degree in electrical and electronics engineering from the University of Calicut, in 1991, an M.E. degree in electrical power systems management from the Asian Institute of Technology, Thailand, in 1999, and a Ph.D. degree in electrical engineering from The University of Toledo, USA, in 2004. He is currently a professor with the Department of Electrical and Computer Engineering, the University of North Carolina at Charlotte, USA. His research interests include intelligent and autonomous control, power systems dynamics, stability and control, smart grid, microgrid, and real-time optimization and control of power systems. Dr. Kamalasadan was the recipient of several awards, including the NSF CAREER Award and IEEE Best Paper Award.