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Smart Grid 3.0 = computational and communication technologies /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Smart Grid 3.0/ edited by Bhargav Appasani, Nicu Bizon.
Reminder of title:
computational and communication technologies /
other author:
Appasani, Bhargav.
Published:
Cham :Springer International Publishing : : 2023.,
Description:
xii, 415 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Smart power grids - Technological innovations. -
Online resource:
https://doi.org/10.1007/978-3-031-38506-3
ISBN:
9783031385063
Smart Grid 3.0 = computational and communication technologies /
Smart Grid 3.0
computational 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
Standard No.: 10.1007/978-3-031-38506-3doiSubjects--Topical Terms:
1406278
Smart power grids
--Technological innovations.
LC Class. No.: TK3105
Dewey Class. No.: 621.31
Smart Grid 3.0 = computational and communication technologies /
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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.
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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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Energy (SpringerNature-40367)
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