Neural network model of 100 W portable PEM fuel cell and experimental verification-Reference-Cited by-同舟云学术

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Neural network model of 100 W portable PEM fuel cell and experimental verification

Published:2010-09 Issue:17 Volume:35 Page:9104-9109
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Sisworahardjo N.S.,Yalcinoz T.,El-Sharkh M.Y.,Alam M.S.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative air supply management in fuel cells: An economic predictive control approach without pre-measured OER;Renewable Energy;2024-10

2. Multi objective optimization using artificial neural network to maximize the power output of PEMFCs;Indian Chemical Engineer;2024-09-02

3. Performance analysis and optimization of syngas composition for reversible solid oxide fuel cells in dual-mode operation based on extreme learning machine;Journal of Power Sources;2024-09

4. An Air Over-Stoichiometry Dependent Voltage Model for HT-PEMFC MEAs;Energies;2024-06-18

5. Integrated model for accurate internal state estimation of polymer electrolyte membrane fuel cells;Energy Reports;2024-06

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