Artificial Intelligence-Based Renewable Energy Systems
Standards, Communication Systems, and Data Networks
Herausgeber: Qureshi, Kashif Naseer; Jeon, Gwanggil
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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 d...
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: Standards, Communication Systems, and Data Networks offers students, researchers, and engineers a holistic perspective on AI communication and data networks for renewable energy systems.
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