A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning-Reference-Cited by-同舟云学术

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A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning

Published:2024-04 Issue: Volume:293 Page:130602
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Izadi Mohammad Javad^ORCID,Hassani Pourya,Raeesi Mehrdad^ORCID,Ahmadi Pouria

Publisher

Elsevier BV

Reference46 articles.

1. Performance optimization of hybrid hydrogen fuel cell-electric vehicles in real driving cycles;Changizian;International Journal of Hydrogen Energy,2020

2. Optimization of Energy Systems;Dincer,2017

3. Dynamic simulation and lifecycle assessment of hydrogen fuel cell electric vehicles considering various hydrogen production methods;Ahmadi;International Journal of Hydrogen Energy,2022

4. Lifecycle assessment of diesel, diesel-electric and hydrogen fuel cell transit buses with fuel cell degradation and battery aging using machine learning techniques;Ahmadi;Energy,2022

5. Performance assessment of fuel cell and electric vehicles taking into account the fuel cell degradation, battery lifetime, and heating, ventilation, and air conditioning system;Mansour;International Journal of Hydrogen Energy,2024

Cited by 6 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. A data-driven method with sample entropy and CEEMDAN for short-term performance degradation prediction of dynamic hydrogen fuel cells;International Journal of Hydrogen Energy;2024-09

2. Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles;Energy;2024-08

3. Prediction model of burn-through point with data correction based on feature matching of cross-section frame at discharge end;Journal of Process Control;2024-08

4. Deep Learning-Based State-of-Health Estimation of Proton-Exchange Membrane Fuel Cells under Dynamic Operation Conditions;Sensors;2024-07-10

5. Energy management strategy for long-life fuel cell hybrid power systems based on improved whale optimization algorithm;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2024-06-26

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