Performance decay prediction model of proton exchange membrane fuel cell based on particle swarm optimization and gate recurrent unit
The durability of proton exchange membrane fuel cells (PEMFC) is an important issue that restricts their large-scale application. To improve their reliability during use, this paper proposes a short-term performance degradation prediction model using particle swarm optimization (PSO) to optimize the...
| Published in: | Energy and AI |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266654682400065X |
