Multimodal Data-Driven Prediction of PEMFC Performance and Process Conditions Using Deep Learning
The proton-exchange membrane fuel cell (PEMFC) is one of the important technologies advancing sustainable energy. However, predicting its performance and optimizing processes is challenging due to the complexity of integrating various types of data with interdependent variables. This study introduce...
| 出版年: | IEEE Access |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2024-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10704654/ |