Artificial Intelligence-based Renewable Energy Systems: Standards, Communication Systems, and Data Networks

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· Elsevier
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270
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Par šo e-grāmatu

'Artificial Intelligence-based Renewable Energy Systems: Standards, Communication Systems, and Data Networks' provides a comprehensive guide to integrating AI into renewable energy systems, addressing both fundamental principles and practical applications. This book is divided into two parts: Part I explores the evolution of AI in energy-efficient systems, advanced applications, architectural frameworks, standards, and distributed renewable energy networks. Part II delves into data communication systems, including networking protocols, advanced learning techniques, blockchain applications, big data analytics, green communication solutions, cybersecurity, and privacy challenges. Combining theoretical foundations with practical insights, 'Artificial Intelligence-based Renewable Energy Systems' offers students, researchers, and engineers a holistic perspective on AI communication and data networks for renewable energy systems.• Part of the cutting-edge series Advances in Intelligent Energy Systems, bringing you the latest research on intelligent energy for the modern world• Supports foundational learning in AI technologies, applications, and opportunities in the energy sector• Includes in-depth case studies, applications, and proposed standards for data network and communication systems in the grid

Par autoru

Prof. Kashif Naseer Qureshi is an associate professor in the Department of Electronic & Computer Engineering at The University of Limerick, Ireland. He received a Ph.D. degree from the University of Technology Malaysia (UTM) in 2016. He is involved in various different AI, cybersecurity and communication system projects. His research interest focuses on the Artificial Internet of Things (AIoT), smart healthcare systems, Internet of connected Vehicles (IoV), and Internet of Things (IoT), Wireless Body Area Networks (WBAN), cyber-security, wireless networks, security perspectives for AIoT and IoT networks, privacy-preserving, data aggregation, computer forensics, and cloud security. His name is included in the top 2% for consecutive two years from stand ford university USA. He has published various high-impact factor papers in international journals and conference proceedings and served on several conferences IPCs and journal editorial boards. He has a number of book chapters related to security and trust architectures. He is also involved in various projects related to routing and cyber-security in the UK, China, Ireland, Malaysia, and in Korea.

Gwanggil Jeon, PhD, is currently a Full Professor at Incheon National University, Incheon, Korea. He was previously a Visiting Professor at Sichuan University, China, Universitat Pompeu Fabra, Barcelona, Spain, Xinjiang University, China, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand, and University of Burgundy, Dijon, France. Dr. Jeon is an IEEE Senior Member, an Associate Editor of Sustainable Cities and Society, IEEE Access, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and Industry-Academic Merit Award by Ministry of SMEs and Startups of Korea Minister in 2020.

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