A Data-Driven Approach for EV Electricity Demand Modeling Using Spatial Regression: A UAE Case Study-Reference-Cited by-同舟云学术

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A Data-Driven Approach for EV Electricity Demand Modeling Using Spatial Regression: A UAE Case Study

Published:2024 Issue: Volume:12 Page:57302-57314
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Elghanam Eiman¹,Alzaatreh Ayman²^ORCID,Hassan Mohamed S.³^ORCID,Osman Ahmed H.³^ORCID

Affiliation:

1. Department of Industrial Engineering, American University of Sharjah, Sharjah, United Arab Emirates

2. Department of Mathematics and Statistics, American University of Sharjah, Sharjah, United Arab Emirates

3. Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates

Funder

American University of Sharjah through the Faculty Research Grant FRG23-C-E17

Open Access Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504826.pdf?arnumber=10504826

Reference55 articles.

1. A review of electric vehicle load open data and models;Amara-Ouali;Energies,2021

2. Electric Vehicle Energy Demand Prediction Techniques: An In-Depth and Critical Systematic Review

3. On the Coordination of Charging Demand of Electric Vehicles in a Network of Dynamic Wireless Charging Systems

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