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Sustainable energy resources in smart cities

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sustainable energy resources in smart cities / edited by Ali Ahmadian ... [et al.].
其他作者:	Ahmadian, Ali.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xi, 224 p. :ill., digital ;24 cm.
內容註:	Ch 1: An Overview of Sustainable Energy Resources in Smart Cities -- Ch 2: A review of geothermal energy resources, development, and applications in Jordan: Current status and prospects -- Ch 3: Advancing Energy Efficiency in Smart Cities: The Smart Readiness Indicator (SRI) Framework for Sustainable Building Performance -- Ch 4: Optimal Operation of Integrated Electricity and Natural Gas Distribution Networks in Smart Cities -- Ch 5: Multi-Energy Networked Microgrid Scheduling in Smart Cities Under Transactive Energy Concept -- Ch 6: A Cost-Emission Trade-offs in Hybrid Energy Systems Using a Multi-Objective Approach with Demand Response Integration -- Ch 7: Microgrids and Nanogrids Implementation in Smart Cities -- Ch 8: Smart homes and buildings implementation in smart cities.
Contained By:	Springer Nature eBook
標題:	Renewable energy sources. -
電子資源:	https://doi.org/10.1007/978-3-031-91516-1
ISBN:	9783031915161

Sustainable energy resources in smart cities
Sustainable energy resources in smart cities [electronic resource] /edited by Ali Ahmadian ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 224 p. :ill., digital ;24 cm. - Green energy and technology,1865-3537. - Green energy and technology..

Ch 1: An Overview of Sustainable Energy Resources in Smart Cities -- Ch 2: A review of geothermal energy resources, development, and applications in Jordan: Current status and prospects -- Ch 3: Advancing Energy Efficiency in Smart Cities: The Smart Readiness Indicator (SRI) Framework for Sustainable Building Performance -- Ch 4: Optimal Operation of Integrated Electricity and Natural Gas Distribution Networks in Smart Cities -- Ch 5: Multi-Energy Networked Microgrid Scheduling in Smart Cities Under Transactive Energy Concept -- Ch 6: A Cost-Emission Trade-offs in Hybrid Energy Systems Using a Multi-Objective Approach with Demand Response Integration -- Ch 7: Microgrids and Nanogrids Implementation in Smart Cities -- Ch 8: Smart homes and buildings implementation in smart cities.

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.

ISBN: 9783031915161

Standard No.: 10.1007/978-3-031-91516-1doiSubjects--Topical Terms:

543030
Renewable energy sources.

LC Class. No.: TJ808

Dewey Class. No.: 333.794091732

Sustainable energy resources in smart cities
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520 $a 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.
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