Prognosis of fuel cell degradation under different applications using wavelet analysis and nonlinear autoregressive exogenous neural network-Reference-Cited by-同舟云学术

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Prognosis of fuel cell degradation under different applications using wavelet analysis and nonlinear autoregressive exogenous neural network

Published:2021-12 Issue: Volume:179 Page:802-814
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Chen Kui,Laghrouche Salah,Djerdir Abdesslem

Funder

China Scholarship Council

Seventh Framework Programme

Fuel Cells and Hydrogen Joint Undertaking

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference51 articles.

1. A study on the hydrogen consumption calculation of proton exchange membrane fuel cells for linearly increasing loads: artificial Neural Networks vs Multiple Linear Regression;Özçelep;Renew. Energy,2020

2. Solid Oxide Fuel Cell systems for electricity generation: an optimization prospect;Prodromidis;Renew. Energy,2020

3. Decision process to manage useful life of multi-stacks fuel cell systems under service constraint;Herr;Renew. Energy,2017

4. Electrical equivalent model of a proton exchange membrane fuel cell with experimental validation;Becherif;Renew. Energy,2011

5. Cascade control of the moto-compressor of a PEM fuel cell via second order sliding mode;Matraji,2011

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3. Degradation prediction of fuel cell systems based on different operating conditions in dynamic cycling condition;Heliyon;2024-08

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