PEMFC Performance Degradation Prediction Based on CNN-BiLSTM with Data Augmentation by an Improved GAN
Year: 2025
Type: article
Abstract: To address the issues of insufficient and imbalanced data samples in proton exchange membrane fuel cell (PEMFC) performance degradation prediction, this study proposes a data augmentation-based model to predict PEMFC performa... | Find, read and cite all the research you need on Tech Science Press
Source: Energy Engineering
Authors: Xiaolu Wang, Haoyu Sun, Aiguo Wang, Xin Xia
Institution: Suqian University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7117325798