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Electric Vehicles in Energy Systems

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Cover of 'Electric Vehicles in Energy Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Why Electric Vehicles?
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    Chapter 2 Artificial Intelligence-based Approach For Electric Vehicle Travel Behavior Modeling
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    Chapter 3 The Role of Off-Board EV Battery Chargers in Smart Homes and Smart Grids: Operation with Renewables and Energy Storage Systems
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    Chapter 4 Optimal Charge Scheduling of Electric Vehicles in Solar Energy Integrated Power Systems Considering the Uncertainties
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    Chapter 5 Optimal Utilization of Solar Energy for Electric Vehicles Charging in a Typical Microgrid
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    Chapter 6 Integration of Electric Vehicles and Wind Energy in Power Systems
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    Chapter 7 Distributed Charging Management of Electric Vehicles in Smart Microgrids
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    Chapter 8 Optimal Energy and Reserve Management of the Electric Vehicles Aggregator in Electrical Energy Networks Considering Distributed Energy Sources and Demand Side Management
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    Chapter 9 An Interactive Model for the Participation of Electric Vehicles in the Competitive Electricity Market
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    Chapter 10 Optimal Scheduling of Smart Microgrid in Presence of Battery Swapping Station of Electrical Vehicles
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    Chapter 11 Risk-Based Long Term Integration of PEV Charge Stations and CHP Units Concerning Demand Response Participation of Customers in an Equilibrium Constrained Modeling Framework
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    Chapter 12 Modelling the Impact of Uncontrolled Electric Vehicles Charging Demand on the Optimal Operation of Residential Energy Hubs
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    Chapter 13 Optimal Operation of Electric Vehicle’s Battery Replacement Stations with Taking into Account Uncertainties
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    Chapter 14 Participation of Aggregated Electric Vehicles in Demand Response Programs
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    Chapter 15 Optimal Charge Scheduling of Electric Vehicles in Smart Homes
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Citations

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Title
Electric Vehicles in Energy Systems
Published by
Springer International Publishing, March 2020
DOI 10.1007/978-3-030-34448-1
ISBNs
978-3-03-034447-4, 978-3-03-034448-1
Editors

Ahmadian, Ali, Mohammadi-ivatloo, Behnam, Elkamel, Ali

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 28%
Student > Ph. D. Student 10 15%
Researcher 4 6%
Student > Doctoral Student 3 4%
Student > Bachelor 3 4%
Other 4 6%
Unknown 24 36%
Readers by discipline Count As %
Engineering 32 48%
Energy 4 6%
Unspecified 1 1%
Chemical Engineering 1 1%
Computer Science 1 1%
Other 0 0%
Unknown 28 42%