Neural Network for FCEVs and RM Power Management using V2G technology-Reference-Cited by-同舟云学术

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Neural Network for FCEVs and RM Power Management using V2G technology

Published:2024-06-28 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Conference on Circuit, Systems and Communication (ICCSC)
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Author:

Elabbassi Ismail¹,Khala Mohamed¹,Yanboiy Naima El¹,Eloutassi Omar²,Hassouani Youssef El³

Affiliation:

1. Moulay Ismail University of Meknes,Optoelectronics and Applied Energy Techniques, Faculty of science and technology,Errachidia,Morocco

2. Faculty of Science Moulay Ismail University,Physics department, Materials and Modelling Laboratory,Meknes,Morocco

3. Faculty of science and technology Moulay Ismail University,New Energies and Materials Engineering Laboratory,Errachidia,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616390/10616394/10617142.pdf?arnumber=10617142

Reference27 articles.

1. A Critical Analysis of Morocco’s Green Hydrogen Roadmap: A Modelling Approach to Assess Country Readiness from the Energy Trilemma Perspective

2. Saudi Arabia energy transition: Assessing the future of green hydrogen in climate change mitigation

3. The Role of Green and Blue Hydrogen in the Energy Transition—A Technological and Geopolitical Perspective

4. Low-carbon technologies in automotive industry and decarbonizing transport

5. Electric Vehicles—An Overview of Current Issues—Part 1—Environmental Impact, Source of Energy, Recycling, and Second Life of Battery

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