Enhancing solid oxide fuel cell efficiency through advanced model identification using differential evolutionary mutation fennec fox algorithm

Fuel cells (FCs) are increasingly attracting attention for their efficient conversion of chemical energy into electricity without the need for combustion. Their high efficiency and versatility make them a promising technology across various applications. Researchers are actively exploring ways to op...

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Main Authors:	Singla, Manish Kumar, Gupta, Jyoti, Kumar, Ramesh, Jangir, Pradeep, Louzazni, Mohamed, Giri, Nimay Chandra, Al Gburi, Ahmed Jamal Abdullah, EI‑Kenawy, E. I.‑Sayed M., Alharbi, Amal H.
Format:	Article
Language:	en
Published:	Springer Science and Business Media B.V. 2025
Online Access:	http://eprints.utem.edu.my/id/eprint/29329/2/02702220420251026331760.pdf http://eprints.utem.edu.my/id/eprint/29329/ https://link.springer.com/article/10.1007/s44196-025-00759-x https://doi.org/10.1007/s44196-025-00759-x
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