Prediction of high-frequency resistance for automotive PEMFC stacks using a Bayesian-optimized LSTM-XGBoost fusion model

Applied Energy 2026

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Authors: Haiyan Xu, Xiuyong Shi, Hong Qiao, Dengcheng Liu, Caihua Zhuang, Hua Liu, Guangwei Wan, Zixuan Cheng

DOI: 10.1016/j.apenergy.2026.128218

Cited by: 1

References: 49

Fields of Study & Subjects

Fuel Cells and Related Materials Electrocatalysts for Energy Conversion Hybrid Renewable Energy Systems

References 49