Optimization of Waiting Time for Electric Vehicles Using a Fuzzy Inference System-Reference-Cited by-同舟云学术

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Optimization of Waiting Time for Electric Vehicles Using a Fuzzy Inference System

Published:2022-09 Issue:9 Volume:23 Page:15396-15407
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hussain Shahid¹^ORCID,Kim Yun-Su²^ORCID,Thakur Subhasis¹,Breslin John G.¹^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Data Science Institute (DSI), National University of Ireland Galway (NUIG), Galway, Ireland

2. Graduate School of Energy Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea

Funder

GIST Research Institute (GRI) grant

GIST in 2022

Research Grant from Cooperative Energy Trading System

Research Grant from the Science Foundation Ireland

European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9893028/09681355.pdf?arnumber=9681355

Reference58 articles.

1. Optimal Sizing and Efficient Routing of Electric Vehicles for a Vehicle-on-Demand System

2. Distributed Scheduling and Cooperative Control for Charging of Electric Vehicles at Highway Service Stations

3. Queuing model for EVs charging at public supply stations

4. Two-stage stochastic sizing and packetized energy scheduling of BEV charging stations with quality of service constraints

5. Decentralized Assignment of Electric Vehicles at Charging Stations Based on Personalized Cost Functions and Distributed Ledger Technologies

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