Artificial Neural Network and Game Theory for Secure Optimal Charging Station Selection for EVs-Reference-Cited by-同舟云学术

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Artificial Neural Network and Game Theory for Secure Optimal Charging Station Selection for EVs

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Kakkar Riya¹,Kumari Aparna¹,Gupta Rajesh¹,Agrawal Smita¹,Tanwar Sudeep¹

Affiliation:

1. Institute of Technology, Nirma University,Department of Computer Science and Engineering,Ahmedabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10225747/10225748/10225788.pdf?arnumber=10225788

Reference13 articles.

1. Coalition Game and Blockchain-Based Optimal Data Pricing Scheme for Ride Sharing Beyond 5G

2. Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

3. BlockEV: Efficient and Secure Charging Station Selection for Electric Vehicles

4. Reservation-based EV charging recommendation concerning charging urgency policy

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. User-centric Charging Service Recommendation for Electric Vehicles;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. Smart Vehicles Recommendation System for Artificial Intelligence-Enabled Communication;IEEE Transactions on Consumer Electronics;2024-02

3. AI-Driven Urban Energy Solutions—From Individuals to Society: A Review;Energies;2023-12-09

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