An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC-Reference-Cited by-同舟云学术

An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC

Published:2023-01 Issue: Volume:330 Page:120333
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhang Chu^ORCID,Hu Haowen,Ji Jie^ORCID,Liu Kang,Xia Xin,Nazir Muhammad Shahzad,Peng Tian

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference58 articles.

1. Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA;Chen;Appl Energy,2022

2. Approximate Cost-Optimal Energy Management of Hydrogen Electric Multiple Unit Trains Using Double Q-Learning Algorithm;Li;IEEE Trans Ind Electron,2022

3. A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell;Benaggoune;Appl Energy,2022

4. Model Prediction Control-Based Energy Management Combining Self-Trending Prediction and Subset-Searching Algorithm for Hydrogen Electric Multiple Unit Train;Li;IEEE Trans Transp Electrif,2022

5. A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition;Zhang;Appl Energy,2018

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