Novel reinforcement learning technique based parameter estimation for proton exchange membrane fuel cell model
Abstract Proton Exchange Membrane Fuel Cells (PEMFCs) offer a clean and sustainable alternative to traditional engines. PEMFCs play a vital role in progressing hydrogen-based energy solutions. Accurate modeling of PEMFC performance is essential for enhancing their efficiency. This paper introduces a...
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Main Authors: | Nermin M. Salem, Mohamed A. M. Shaheen, Hany M. Hasanien |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-11-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-78001-5 |
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