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Synopsis

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.

Publisher information

  • Publisher: Springer Nature Switzerland
  • ISBN: 9783031915154
  • Number of pages: 179
  • Dimensions: 235 x 155 x 235 mm
  • Weight: 467g
  • Languages: English