'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

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