Modeling, Analysis, and Control of Smart Energy Systems - Couverture souple

Couverture souple

ISBN 13 : 9798369347102

Editeur : Engineering Science Reference, 2024

Synopsis

The increasing demand for cleaner and more intelligent energy solutions poses a challenge that resonates across academic, engineering, and policymaking spheres. The complexity of integrating renewable energy sources, energy storage solutions, and advanced communication technologies demands a comprehensive understanding, rigorous analysis, and innovative control strategies. The academic community, in particular, seeks a guiding light through this intricate maze of evolving energy dynamics. Modeling, Analysis, and Control of Smart Energy Systems is a groundbreaking publication that offers more than theoretical exploration; it is a roadmap equipped with the knowledge and tools required to shape the future of energy systems. From laying conceptual foundations to unraveling real-world case studies, the book seamlessly bridges the gap between theory and application. Its comprehensive coverage of mathematical modeling, dynamic system analysis, intelligent control strategies, and the integration of renewable energy sources positions it as an authoritative reference for researchers, engineers, and policymakers alike.

A propos du livre

À propos des auteurs

Naoui Mohamed was born in Nefta, Tunis, in 1991. He received the degree in electrical engineering from the University of Gabès, Tunisia, in 2015, and the Ph.D. degree from the Department of Electrical Engineering, in 2020. From 2016 to 2018, he worked as a Professional Engineer in electrical and automatic engineering. He is currently an Associate Professor in electrical engineering with the University of Gabès (ENIG). He has academic experience of three years. He has published over 150 research articles in reputed journals, international conferences, and book chapters. His research interests include electric vehicles, power systems, and renewable energy.

Romdhane Ben Khalifa is assistant professor, academic and researcher in the field of mechanical engineering, primarily associated with the University of Gabes. He holds a position at the National engineering school of Gabes (ENIG) where his research and teaching focus on optimization, neural networks, and CAD/CAM technologies. His work is well-regarded for its contributions to the improvement of manufacturing processes and the application of artificial intelligence in engineering. He obtained his PhD Doctoral thesis in Mechanical Engineering at National Engineering School of Tunisia in 2012. In 2005, he obtained the Master degree of Mechanical Engineering from the National Engineering School of Tunisia. He has authored a number of research papers in the field of Mechanical engineering in impacted international journals.

Lassaad Sbita was born in Hammam Lif, Tunisia, in 1962. He received the B.E. degree in electrical engineering from the University of Tunis, Tunis, Tunisia, in 1985, and the D.E.A. and Thesis degrees in electrical engineering from the École nationale supérieure d’ingénieurs de Tunis, Tunis, in 1987 and 1997, respectively. In 1988, he joined the Department of Electrical Engineering, National School of Engineering of Sfax, University of Sfax, as a Professor Assistant, and the Department of Electrical Engineering, National Engineering School of Gabes, University of Gabés, Gabés, Tunisia, in 1991, where he became an Associate Professor, in 1998, and a Professor, in 2009.

Détails de l'édition

• Éditeur: Engineering Science Reference
• Date d'édition: 2024
• Langue: anglais
• ISBN 13: 9798369347102
• Reliure: Broché
• Nombre de pages: 362
• Éditeur: Naoui Mohamed, Ben Khalifa Romdhane, Sbita Lassaad
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible