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Smart Grid 3.0computational and communication technologies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart Grid 3.0edited by Bhargav Appasani, Nicu Bizon.
其他題名:	computational and communication technologies /
其他作者:	Appasani, Bhargav.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xii, 415 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Smart power gridsTechnological innovations.
電子資源:	https://doi.org/10.1007/978-3-031-38506-3
ISBN:	9783031385063$q(electronic bk.)

Smart Grid 3.0computational and communication technologies /
Smart Grid 3.0computational and communication technologies /[electronic resource] :edited by Bhargav Appasani, Nicu Bizon. - Cham :Springer International Publishing :2023. - xii, 415 p. :ill., digital ;24 cm. - Power systems,1860-4676. - Power systems..

Chapter 1. Smart Grid 3.0: Grid with Proactive Intelligence -- Chapter 2. Blockchain for Smart Meters, Home Automation and Electric vehicles -- Chapter 3. Engineering Applications of Crowdsourcing Concept in Active Distribution Grids -- Chapter 4. Machine Learning Based Approaches for Transmission Line Fault Detection Using Synchrophasor Measurements -- Chapter 5. Data Mining-based Approaches in the Power Quality Analysis -- Chapter 6. Emerging Communication Technologies for V2X: Standards and Protocols -- Chapter 7. Machine Learning and Deep Learning Approaches for Energy Management in Smart Grid 3.0 -- Chapter 8. Big Data Analytics for Enhanced Situational Awareness in Smart Grid 3.0 -- Chapter 9. Evolutionary Algorithms for Load Frequency Control in Renewable Microgrids -- Chapter 10. Smart Cities: Communication Standards, Protocols and Emerging Technologies -- Chapter 11. Internet of Things for Smart Homes and Smart Cities -- Chapter 12. Internet of Things Enabled Energy Management Systems in Renewable Microgrids -- Index.

This book is the first on Smart Grid 3.0. The book presents literature reviews of recent computational and communication technologies and their application in the evolution of smart grids to Smart Grid 3.0. It offers new control solutions, architectures and energy management strategies that are based on artificial intelligence and deep learning techniques. The book details the hardware and software implementation of fault identification or detection based on synchrophasor data and machine learning. It also discusses blockchain architectures for smart grid applications such as electric vehicles, home automation and automatic metering infrastructure.

ISBN: 9783031385063$q(electronic bk.)

Standard No.: 10.1007/978-3-031-38506-3doiSubjects--Topical Terms:

918316
Smart power grids
--Technological innovations.

LC Class. No.: TK3105

Dewey Class. No.: 621.31

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505 0 $a Chapter 1. Smart Grid 3.0: Grid with Proactive Intelligence -- Chapter 2. Blockchain for Smart Meters, Home Automation and Electric vehicles -- Chapter 3. Engineering Applications of Crowdsourcing Concept in Active Distribution Grids -- Chapter 4. Machine Learning Based Approaches for Transmission Line Fault Detection Using Synchrophasor Measurements -- Chapter 5. Data Mining-based Approaches in the Power Quality Analysis -- Chapter 6. Emerging Communication Technologies for V2X: Standards and Protocols -- Chapter 7. Machine Learning and Deep Learning Approaches for Energy Management in Smart Grid 3.0 -- Chapter 8. Big Data Analytics for Enhanced Situational Awareness in Smart Grid 3.0 -- Chapter 9. Evolutionary Algorithms for Load Frequency Control in Renewable Microgrids -- Chapter 10. Smart Cities: Communication Standards, Protocols and Emerging Technologies -- Chapter 11. Internet of Things for Smart Homes and Smart Cities -- Chapter 12. Internet of Things Enabled Energy Management Systems in Renewable Microgrids -- Index.
520 $a This book is the first on Smart Grid 3.0. The book presents literature reviews of recent computational and communication technologies and their application in the evolution of smart grids to Smart Grid 3.0. It offers new control solutions, architectures and energy management strategies that are based on artificial intelligence and deep learning techniques. The book details the hardware and software implementation of fault identification or detection based on synchrophasor data and machine learning. It also discusses blockchain architectures for smart grid applications such as electric vehicles, home automation and automatic metering infrastructure.
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