Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM

Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM

The performance degradation is a crucial factor affecting the commercialization of proton exchange membrane electrolyzer. However, it is difficult to establish a mechanism model incorporating all degradation categories due to their different time and spatial scales. In this paper, the data-driven me...

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Bibliographic Details
Main Authors: Boshi Xu, Wenbiao Ma, Wenyan Wu, Yang Wang, Yang Yang, Jun Li, Xun Zhu, Qiang Liao
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Energy and AI
Subjects:
Pem water electrolyzer
Degradation
Dynamic operation
Machine learning
CNN-LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824000867
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