Novel reinforcement learning technique based parameter estimation for proton exchange membrane fuel cell model

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Nermin M. Salem, Mohamed A. M. Shaheen, Hany M. Hasanien
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Clean energy
PEMFC
Reinforcement learning
Online Access:https://doi.org/10.1038/s41598-024-78001-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-78001-5

Similar Items