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Green Energy and Networking

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Cover of 'Green Energy and Networking'

Table of Contents

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    Book Overview
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    Chapter 1 Improved Voltage Control of the Electric Vehicle Operating as UPS in Smart Homes
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    Chapter 2 Energy End-Use Flexibility of the Next Generation of Decision-Makers in a Smart Grid Setting: An Exploratory Study
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    Chapter 3 Optimizing the Train-Catenary Electrical Interface Through Control Reconfiguration
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    Chapter 4 Home Energy Monitoring System Towards Smart Control of Energy Consumption
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    Chapter 5 Performance Comparison of a Typical Nonlinear Load Connected to Ac and Dc Power Grids
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    Chapter 6 How Much are Portuguese Residential Consumers Willing to Invest in Photovoltaic Systems?
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    Chapter 7 Sustainability Assessment of High Voltage Transmission Lines
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    Chapter 8 Voltage Distortion Minimization in Cascaded H-Bridge Inverters
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    Chapter 9 A Selective Harmonic Compensation with Current Limiting Algorithm
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    Chapter 10 Power Electronics Converters for an Electric Vehicle Fast Charging Station with Storage Capability
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    Chapter 11 Experimental Evaluation of Magnetostrictive Strain of Electrical Steel
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    Chapter 12 Design of Compact LoRa Devices for Smart Building Applications
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    Chapter 13 Electro-Optical System for Evaluation of Dynamic Inductive Wireless Power Transfer to Electric Vehicles
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    Chapter 14 On the Effects of Parameter Adjustment on the Performance of PSO-Based MPPT of a PV-Energy Generation System
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    Chapter 15 Multi-temporal Active Power Scheduling and Voltage/var Control in Autonomous Microgrids
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Title
Green Energy and Networking
Published by
Springer International Publishing, May 2019
DOI 10.1007/978-3-030-12950-7
ISBNs
978-3-03-012949-1, 978-3-03-012950-7
Editors

Afonso, João L., Monteiro, Vítor, Pinto, José Gabriel

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Engineering 1 25%
Unknown 3 75%