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<p>This book&#xa0;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.</p><ul><li class="MsoNormal" style="line-height: normal;"><span lang="EN-US" style="font-size: 12.0pt; font-family: 'Times New Roman',serif;">Presents the latest developments in the application of sustainable energy resources in smart cities;</span></li><li class="MsoNormal" style="line-height: normal;"><span lang="EN-US" style="font-size: 12.0pt; font-family: 'Times New Roman',serif;">Showcases machine learning and deep learning-based approaches for practical energy management;</span></li><li class="MsoNormal" style="line-height: normal;"><span lang="EN-US" style="font-size: 12.0pt; font-family: 'Times New Roman',serif;">Includes international case studies.</span></li></ul>

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Sustainable Energy Resources in Smart Cities

  • 书籍

  • 发表日期：

    2025年

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摘要

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.