Smart Power Networks

• Utgivningsdatum: 2027-02-12
• Mått: 178 x 254 x undefined mm
• Format: Inbunden
• Språk: Engelska
• Antal sidor: 464
• Förlag: Taylor & Francis Ltd
• ISBN: 9781032980904

• Energiteknik
• Elektronik och kommunikationer
• IT-säkerhet
• Systemvetenskap och AI

Shady S. Refaat received his B.A.Sc., M.A.Sc., and Ph.D. degrees in Electrical Engineering from Cairo University, Giza, Egypt, in 2002, 2007, and 2013, respectively. He has over 12 years of industrial experience, having served as an Engineering Team Leader, Senior Electrical Engineer, and Electrical Design Engineer across a range of electrical engineering projects. He served as an Associate Research Scientist in the Department of Electrical and Computer Engineering at Texas A&M University at Qatar. He currently holds the position of Reader in Electrical Power Engineering at the University of Hertfordshire and also serves as an Adjunct Associate Professor at Texas A&M University. He is a Senior Member of the IEEE, a member of the Institution of Engineering and Technology (IET), and a member of the Smart Grid Center- Extension in Qatar (SGC-Q). He has authored over 240 journal and conference publications, one patent, and two books. His research interests include electrical machines, power systems, smart grids, big data analytics, energy management systems, power grid reliability, electric machinery, fault detection, condition monitoring, and the development of fault-tolerant systems. Over the past decade, he has led and contributed to numerous scientific research projects, successfully translating research into practical solutions. Amira Mohammed is a Lecturer in Electronic Engineering in the Department of Physics, Engineering and Computer Science at the University of Hertfordshire. Before joining academia, she worked for two years as an Electrical Design Engineer in the Electrical Projects Department at the Gila Electrical Company, followed by roles at the Cairo Metro Company and the Alexandria Company for Construction. She was a Research Assistant at Texas A&M University from 2016 to 2018, where she also completed her PhD in Electrical and Computer Engineering. She has contributed to the research field through one book chapter and over 45 peer-reviewed conference and journal publications. Her research and teaching interests are power electronics, power systems, smart grids, Co-simulation, big data analytics, energy management systems, and grid stability. He has led and contributed to numerous research projects over the past decade, with a strong focus on translating research outcomes into practical engineering applications. Mostafa Farrag received his MEng degree with Distinction in Electrical Power Engineering from Glasgow Caledonian University, UK, in 2020, and his PhD in Electrical Power Engineering from Brunel University London, UK, in 2024. He is currently a Graduate Teaching Fellow in Electrical and Electronic Engineering at the University of Hertfordshire, UK, and is a Fellow of the Higher Education Academy. His research focuses on electric vehicles, hybrid energy storage systems, power electronics, renewable energy integration, smart grids, advanced control, and machine learning applications in power systems. He has authored and co-authored journal and conference publications and contributes to international teaching and research activities. Mouloud Denai is a Professor in Electric Power and Control. He graduated from the University of Science and Technology of Algiers and National Polytechnic School of Algiers, Algeria in Electrical Engineering and received his PhD in Control Engineering from the University of Sheffield, UK. He worked for the University of Science and Technology of Oran (Algeria) until 2004 and the University of Sheffield (UK) from 2004 to 2010. From 2010 to 2014, he worked for the University of Teesside (UK), from 2014 to 2023, he worked with the University of Hertfordshire (UK), since 2023 he has joined the Higher School of Electrical Engineering and Energetics of Oran (Algeria). His current research focuses on modelling, optimisation, and control of energy systems. His research interests in energy include intelligent control design and computational intelligence techniques applications for efficiency optimisation of renewable energy systems with particular focus in the energy management of smart homes and dynamic scheduling, optimisation and control of future smart grids. His other research focus is in condition monitoring and asset management in modern electric power networks; Energy storage systems integration into the grid; Smart meter data analytics using machine learning for efficient energy management; Peer-to-Peer (P2P) energy transaction; Electric vehicles integration in the distribution grid (V2G and G2V) and charging management; Dynamic wireless charging of electric vehicles: Optimisation and infrastructure management. Yichuang Sun obtained his PhD in Electronics from the University of York, UK, in 1996. He is Professor of Communications and Electronics (since January 2001) and was Head of Division of Electronic, Communication, and Electrical Engineering at the University of Hertfordshire, UK. Professor Sun’s expertise and interests include wireless communications, green communications, smart grids, RF circuits, energy harvesting circuits, machine learning, and neuromorphic computing. He has published over 450 papers, 10 chapters, and four books. He has also been a Book Series Editor, a journal Editor of eight academic journals, and sole or lead Guest Editor of 15 Special Issues and Research Topics.

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