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

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
Online Access:View Fulltext in Publisher

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