A hybrid CNN–BiLSTM–AT model optimized with enhanced whale optimization algorithm for remaining useful life forecasting of fuel cell

A hybrid CNN–BiLSTM–AT model optimized with enhanced whale optimization algorithm for remaining useful life forecasting of fuel cell

To further improve the remaining useful life forecasting accuracy of fuel cells using classic deep learning models, a convolutional neural network combining bidirectional long and short-term memory networks (BiLSTM) and attention mechanism (AT) is optimized with the enhanced whale optimization algor...

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Bibliographic Details
Main Authors:	Rui Quan, Jian Zhang, Xuerong Li, Haifeng Guo, Yufang Chang, Hang Wan
Format:	Article
Language:	English
Published:	AIP Publishing LLC 2024-02-01
Series:	AIP Advances
Online Access:	http://dx.doi.org/10.1063/5.0191483

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