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Design and Analysis of Distributed Energy Management Systems

Overview of attention for book
Cover of 'Design and Analysis of Distributed Energy Management Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicle
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    Chapter 2 Probabilistic Model and Prediction of Vehicle Daily Use
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    Chapter 3 Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+ HPWH EMS)
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    Chapter 4 Range Extension Autonomous Driving for Electric Vehicles Based on Optimization of Velocity Profile Considering Traffic Signal Information
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    Chapter 5 Real-Time Pricing and Decentralized Optimization Strategy for Power Flow Balancing in EV/PHV Storage Management
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    Chapter 6 A Scalable Control Approach for Providing Regulation Services with Grid-Integrated Electric Vehicles
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    Chapter 7 A Continuum Approach to Assessing the Impact of Spatiotemporal EV Charging to Distribution Grids
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    Chapter 8 Cyber Security for Voltage Control of Distribution Systems Under Data Falsification Attacks
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    Chapter 9 Machine Learning Based Intrusion Detection in Control System Communication
Attention for Chapter 3: Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+ HPWH EMS)
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Citations

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Chapter title
Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+ HPWH EMS)
Chapter number 3
Book title
Design and Analysis of Distributed Energy Management Systems
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-33672-1_3
Book ISBNs
978-3-03-033671-4, 978-3-03-033672-1
Authors

Anh Tuan Tran, Akihiko Kawashima, Shinkichi Inagaki, Tatsuya Suzuki

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unspecified 1 33%

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