| Issue |
Sci. Tech. Energ. Transition
Volume 79, 2024
Decarbonizing Energy Systems: Smart Grid and Renewable Technologies
|
|
|---|---|---|
| Article Number | 63 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.2516/stet/2024065 | |
| Published online | 13 September 2024 | |
Retracted Article
RETRACTED: Modelling cost-effective of electric vehicles and demand response in smart electrical microgrids
1
Department of Electrical Engineering, University of Tabuk, Tabuk, Saudi Arabia
2
Department of Electrical Engineering Techniques, Al-Amarah University College, Maysan, Iraq
3
Erbil Polytechnic University, Erbil Technical Engineering College, Information System Engineering Department, Erbil, Iraq
4
Department of Physics & Electronics, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India
5
School of Engineering, Bahra University, Waknaghat, Solan, Himachal Pradesh, India
6
Faculty of Engineering, Sohar University, PO Box 44, Sohar, PCI 311, Oman
7
Department of Electronics and Communication Engineering, Chandigarh College of Engineering, Chandigarh Group of Colleges, Jhanjeri, Mohali, 140307, Punjab, India
8
NIMS School of Electrical and Electronics Engineering, NIMS University Rajasthan, Jaipur, India
9
Department of Computers Techniques engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq
10
Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
11
Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq
12
Department of Energy, Madrid Institute for Advanced Studies in Energy, Madrid, Spain
* Corresponding author: yersi.luis.ro@gmail.com
Received:
28
April
2024
Accepted:
7
August
2024
Following the publication of the Retraction Notice, this article has been formerly retracted on 14 March 2025.
© The Author(s), published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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