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    Artificial Intelligence-Based Renewable Energy Systems

    Standards, Communication Systems, and Data Networks

    AvKashif Naseer Qureshi,Gwanggil Jeon

    Häftad, Engelska, 2026

    Del i serien Advances in Intelligent Energy Systems

    1 920 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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. Sections explore the evolution of AI in energy-efficient systems, advanced applications, architectural frameworks, standards, and distributed renewable energy networks while also delving 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, this book offers students, researchers, and engineers a holistic perspective on AI communication and data networks for renewable energy systems.

    • Presents a new release in the Advances in Intelligent Energy Systems series
    • 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 on the grid

    Produktinformation

    • Utgivningsdatum:2026-03-17
    • Mått:152 x 229 x 18 mm
    • Vikt:450 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Advances in Intelligent Energy Systems
    • Antal sidor:308
    • Förlag:Elsevier Science
    • ISBN:9780443406188

    Utforska kategorier

    • Energiteknik inom Naturvetenskap och teknik
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Prof. Kashif Naseer Qureshi is an Associate Professor of Cyber Security in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. He is also actively involved in the Cyber Skills project, a HEA-HCI Pillar 3 initiative Ireland. He received a Ph.D. degree from the University of Technology Malaysia (UTM) and holds two master's degrees in Computer Science and Information Technology from reputable universities. He is the Co-Principal Investigator in Cyber Reconnaissance and Combat project funded by higher educa­tion commission. His research interests focus on the security, trust and privacy con­cerns for Internet of Everything (IoE), Internet of Vehicles (IoV), Electronic Vehicles (EV) charging management planning and recommendation systems, and Internet of Things (IoT) and use cases implementation in wireless and wired networks. He is active member of Lero, the Science Foundation Ireland Research Centre for Software in University of Limerick (UL). His name is included in top 2% Scientist for consecutive 3 years from Stanford 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 number of book chapters and 5 edited books in Springer, CRC and Elsiver Publishers related to Cybersecurity, Privacy and Trust architectures. He has also part of various research projects related to wireless communication, routing and CyberSecurity domains in the UK, China, Ireland, Malaysia, Canada, Dubai, Vietnam and in Pakistan. 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.

    Innehållsförteckning

    • Part I: Artificial Intelligence Evolution in Energy Efficient Systems and Its Fundamental Concepts 1. Artificial Intelligence based Energy Efficiency Solutions: A New Paradigm of Connected Networks2. Advanced AI Applications in Renewable Energy Systems3. Architectural Frameworks for AI in Renewable Energy Systems4. Standards and Policies for AI in Renewable Energy Systems5. Distributed Renewable Energy Networks in the AI EraPart II: Data Communication Systems for AI in Renewable Energy Systems 6. Networking and Protocols for AI Renewable Energy Networks7. Advanced Learning Techniques for AI in Renewable Energy8. Blockchain Applications in AI Renewable Energy Systems9. Big Data Analytics for AI Renewable Energy Networks10. Green Communication Solutions for AI Renewable Energy Networks11. Cybersecurity in AI Renewable Energy Networks12. Privacy and Trust Challenges in AI Renewable Energy Systems