Statistical and machine learning methods for modeling the next-generation PEM water electrolysis systems: response surface methodology and artificial neural networks

Green hydrogen production is gaining substantial interest in today’s movement towards energy transition. Research efforts have been exploring water electrolysis technology, powered by renewable energy sources, to produce pure hydrogen. Proton exchange membrane water electrolysis (PEMWE) is considere...

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Detalhes bibliográficos

Principais autores:	Muhammad Tawalbeh, Moin Sabri, Hisham Kazim, Amani Al-Othman, Hussam Alshraideh, Fares Almomani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-01-01
Colecção:	Energy Conversion and Management: X
Assuntos:	Green hydrogen production Proton exchange membrane water electrolysis Machine learning Neural networks Response surface methodology Hydrogen flow rate prediction
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590174525005823
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