System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm
Parameter identification of the proton exchange membrane fuel cell (PEMFC) is a good way of increasing their efficiency in the next designs. In this study, an optimized improved Elman neural network based on a new hybrid optimization algorithm is proposed for this purpose. The proposed algorithm is...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-11-01
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| Series: | Energy Reports |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484719305396 |