Data-Driven State Prediction and Analysis of SOFC System Based on Deep Learning Method

A solid oxide fuel cell (SOFC) system is a kind of green chemical-energy–electric-energy conversion equipment with broad application prospects. In order to ensure the long-term stable operation of the SOFC power-generation system, prediction and evaluation of the system’s operating state are require...

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Bibliographic Details
Main Authors:	Chen, C. (Author), Chen, Z. (Author), Dong, J. (Author), Li, M. (Author), Li, X. (Author), Rao, M. (Author), Wang, L. (Author), Xiong, K. (Author), Xu, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Data driven deep learning Deep learning Forecasting Fuel cell system Long short-term memory Mean square error multi-step prediction Multi-step prediction Network layers Prediction modelling Prediction problem Recursive prediction solid oxide fuel cell Solid oxide fuel cells (SOFC) Solid-oxide fuel cell state prediction State prediction System state
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Data-Driven State Prediction and Analysis of SOFC System Based on Deep Learning Method

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