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...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Muhammad Tawalbeh, Moin Sabri, Hisham Kazim, Amani Al-Othman, Hussam Alshraideh, Fares Almomani
Format:	Artigo
Język:	Inglês
Wydane:	Elsevier 2026-01-01
Seria:	Energy Conversion and Management: X
Hasła przedmiotowe:	Green hydrogen production Proton exchange membrane water electrolysis Machine learning Neural networks Response surface methodology Hydrogen flow rate prediction
Dostęp online:	http://www.sciencedirect.com/science/article/pii/S2590174525005823
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!