Machine learning-based simulation for proton exchange membrane electrolyzer cell

Machine learning-based simulation for proton exchange membrane electrolyzer cell

This paper presents two systematic machine learning (ML) approaches for predicting the hydrogen production rate and cell current density for proton exchange membrane electrolyzer cells (PEMEC) as a function of different design parameters. Management of the hydrogen production rate and current densit...

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Bibliographic Details
Main Authors: Amira Mohamed, Hatem Ibrahem, Kibum Kim
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
PEM electrolyzer cell
Machine learning (ML)
Box and whisker plots
Hydrogen production rate
Cell’s current density
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722018595

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http://www.sciencedirect.com/science/article/pii/S2352484722018595

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