Work

A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction

Year: 2024

Type: article

Source: International Journal of Hydrogen Energy

DOI: 10.1016/j.ijhydene.2024.11.127

Authors: Jiaming Zhou, Xing Shu, Jinming Zhang, Fengyan Yi, Chunchun Jia, Caizhi Zhang, Xianghao Kong, Junling Zhang, Guangping Wu

Institutions: Weifang University of Science and Technology, Shandong Jiaotong University, Beijing Institute of Technology, Chongqing University, State Key Laboratory of Mechanical Transmission

Language: English

Topic: Fuel Cells and Related Materials

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Doctoral Foundation of Shandong Province

Awards: G1095022762, G2026930139

OpenAlex ID: W4404281436

FWCI: 12.02

Cites: 41

Cited by: 123

Related to: 10