This book offers an extensive examination of the operational and strategic considerations for sustainable energy within the context of smart cities, incorporating cutting-edge advancements in technology, protocols, implementation strategies, and the utilization of energy resources. It examines recent sustainability strategies formulated by various nations emphasizing worldwide application, accompanied by a thorough analysis of economic, technical, and environmental dimensions. The authors present a comprehensive exploration of energy provisioning and administration, underscoring the deployment of data analysis methodologies and tools, such as machine learning and deep learning-based approaches for practical energy management studies. Additionally, it showcases the application of mathematical programming in modeling real-world case studies, leveraging optimization techniques that have broad-reaching global relevance. Presents the latest developments in the application of sustainable energy resources in smart cities; Showcases machine learning and deep learning-based approaches for practical energy management; Includes international case studies.
