A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms-Reference-Cited by-同舟云学术

A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms

Published:2022-04-27 Issue:2 Volume:44 Page:3555-3575
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Rajamoorthy Rajasekaran¹,Arunachalam Gokulalakshmi²,Kasinathan Padmanathan³^ORCID,Devendiran Ramkumar⁴,Ahmadi P.⁵,Pandiyan Santhiya⁶^ORCID,Muthusamy Suresh⁷^ORCID,Panchal Hitesh⁸^ORCID,Kazem Hussein A⁹,Sharma Prabhakar¹⁰^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, SNS College of Technology (Autonomous), Coimbatore, India

2. Department of Biomedical Engineering, SNS College of Technology (Autonomous), Coimbatore, India

3. Department of Electrical and Electronics Engineering, Agni College of Technology, Thalambur, Chennai, India

4. Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India

5. Department of Mechanical Engineering, Faculty of Engineering, Istinye University, Istanbul, Turkey

6. Department of Computer Science and Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, India

7. Department of Electronics and Communication Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, India

8. Department of Mechanical Engineering, Government Engineering College, Patan, Gujarat, India

9. Faculty of Engineering, Sohar University, Oman

10. Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, New delhi, India

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2022.2067268

Reference37 articles.

1. Agancy, I. E. 2018. World energy outlook 2018. 23–28.

2. Controller Parameters Optimization for Multi-Terminal DC Power System Using Ant Colony Optimization

3. Online EV Scheduling Algorithms for Adaptive Charging Networks with Global Peak Constraints

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