Enhancing the Efficiency of Electric Vehicles Charging Stations Based on Novel Fuzzy Integer Linear Programming

Author:

Hussain Shahid1ORCID,Irshad Reyazur Rashid2,Pallonetto Fabiano3ORCID,Jan Qasim4,Shukla Saurabh5ORCID,Thakur Subhasis6,Breslin John G.6ORCID,Kim Yun-Su7ORCID,Rathore Muhammad Ahmad8ORCID,El-Sayed Hesham9ORCID

Affiliation:

1. Innovative Value Institute (IVI), School of Business, National University of Ireland Maynooth (NUIM), Maynooth, Ireland

2. Department of Computer Science, College of Science and Arts, Najran University, Sharurah, Saudi Arabia

3. School of Business, National University of Ireland Maynooth (NUIM), Maynooth, Ireland

4. Department of Computer Science, COMSATS Institute of Information Technology, Attock Campus, Attock, Punjab, Pakistan

5. Computer Science Department, Amity School of Engineering and Technology, Amity University, Mumbai Campus, Mumbai, Maharashtra, India

6. Department of Electrical and Electronic Engineering, University of Galway, Galway, Ireland

7. Graduate School of Energy Convergence, Gwangju Institute of Science and Technology, Gwangju, South Korea

8. Feinberg School of Medicine, Northwestern University Chicago, Chicago, IL, USA

9. Department of Computer and Network Engineering, United Arab Emirates University, Al Ain, United Arab Emirates

Funder

European Union’s Horizon Europe research and innovation programme under the project FLOW grant agreement

Deanship of Scientific Research at Najran University for funding this work under the Research Collaboration Funding program grant code

Science Foundation Ireland

GIST Research Institute(GRI) grant funded by the GIST in 2023

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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