Research graph
References from An improved iTransformer framework for health prediction of proton exchange membrane fuel cells. Local targets link to admitted publications; unresolved targets remain external evidence.
Self-adaptive digital twin of fuel cell for remaining useful lifetime prediction
10.1016/j.ijhydene.2024.09.266 · 2024 · External reference
A review on lifetime prediction of proton exchange membrane fuel cells system
10.1016/j.jpowsour.2022.231256 · 2022 · External reference
A prediction method with uncertainty-aware for the remaining useful life and state of health of the proton exchange membrane fuel stack
10.1016/j.jpowsour.2025.238844 · 2026 · External reference
Enhanced performance prediction for proton exchange membrane fuel cells: a comprehensive study with different load profiles
10.1016/j.ijhydene.2024.12.348 · 2025 · External reference
Short and long-term prognostics of the remaining useful life of a proton exchange membrane fuel cell using deep learning and transformer model
10.1016/j.ijhydene.2024.12.512 · 2025 · External reference
Multi-scale degradation forecasting of PEMFCs under non-stationary operating conditions: a novel spatio-temporal deep learning framework
2026 · External reference
AI-enhanced RUL prediction of PEMFCs under dynamic operating conditions using XGBoost-based HI extraction and hybrid transformer-GRU model
10.1016/j.ress.2025.112042 · 2026 · External reference
Machine learning and bayesian optimization for performance prediction of proton-exchange membrane fuel cells
10.1016/j.egyai.2024.100380 · 2024 · External reference
Research of proton exchange membrane fuel cell degradation index and prediction method for automotive vehicles
2024 · External reference
Efficient health indicators for the prediction of the remaining useful life of proton exchange membrane fuel cells
2024 · External reference
Application of machine learning in fuel cell research
10.3390/en16114390 · 2023 · External reference
Modeling of microbial fuel cell power generation using machine learning-based super learner algorithms
10.1016/j.fuel.2023.128646 · 2023 · External reference
A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
10.1016/j.ijhydene.2024.11.127 · 2024 · External reference
Investigation of fuel cell stack performance degradation based on 1000 h durability experiments and long short-term memory prediction frameworks under dynamic load conditions
10.1016/j.egyai.2025.100628 · 2025 · External reference
An LSTM and ANN fusion dynamic model of a proton exchange membrane fuel cell
10.1109/tii.2022.3196621 · 2023 · External reference
Degradation prediction based on physics-constrained data-driven framework for hydrogen fuel cell lifetime
10.1016/j.ijhydene.2026.153438 · 2026 · External reference
PEMFC performance degradation prediction model based on temporal convolutional network coupling bi-directional long short-term memory and sparrow search optimization algorithm
10.1016/j.ijhydene.2025.153348 · 2026 · External reference
Remaining useful life prediction of PEMFCs based on mode decomposition and hybrid method under real-world traffic conditions
10.1016/j.energy.2024.134279 · 2025 · External reference
Remaining useful life prediction of vehicle-oriented PEMFCs based on seasonal trends and hybrid data-driven models under real-world traffic conditions
10.1016/j.renene.2025.123193 · 2025 · External reference
Fuel cell digital twin for remaining useful lifetime prediction and optimization based on physics-guided neural network
2026 · External reference
Metaheuristic optimization of flight control and power conversion in fuel cell-powered quadrotors
10.1016/j.jpowsour.2026.239708 · 2026 · External reference
Cross-domain electrochemical impedance spectroscopy reconstruction for PEMFC aging characterization: a time-frequency PINN framework with ECM priors
10.1016/j.geits.2026.100438 · 2026 · External reference
A non-stationary transformer-based remaining useful life prediction method for proton exchange membrane fuel cells
10.1016/j.ijhydene.2024.02.150 · 2024 · External reference
The degradation prediction of proton exchange membrane fuel cell performance based on a transformer model
10.3390/en17123050 · 2024 · External reference
PEMFC RUL Prediction for non-stationary time series based on crossformer model
10.3390/app15052515 · 2025 · External reference
Unresolved reference
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Neural ordinary differential equations
2018 · External reference
10.1103/4t7t-v19l
10.1103/4t7t-v19l · External reference
Unresolved reference
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xLSTM: extended long short-term memory
2024 · External reference
Unresolved reference
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A parallel LTCN-PHA network for remaining useful life prediction of lithium-ion batteries
10.1016/j.energy.2025.138436 · 2025 · External reference
Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence
10.1016/j.egyai.2025.100577 · 2025 · External reference
Unresolved reference
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Unresolved reference
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BenchXAI: Comprehensive benchmarking of post-hoc explainable AI methods on multi-modal biomedical data
10.1016/j.compbiomed.2025.110124 · 2025 · External reference
10.52202/085713-0410
10.52202/085713-0410 · External reference
Li-ion battery capacity prediction using improved temporal fusion transformer model
10.1016/j.energy.2024.131114 · 2024 · External reference
Future prediction on the remaining useful life of proton exchange membrane fuel using temporal fusion transformer model
10.1016/j.renene.2025.123019 · 2025 · External reference
Unresolved reference
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Unresolved reference
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Short-term smart grid energy forecasting using a hybrid deep learning method on univariate and multivariate data sets
10.1016/j.energy.2025.138081 · 2025 · External reference
Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths
10.1016/j.engappai.2022.104998 · 2022 · External reference
Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory
10.1016/j.apenergy.2023.121294 · 2023 · External reference
Transfer learning-based deep learning models for proton exchange membrane fuel remaining useful life prediction
10.1016/j.fuel.2024.131461 · 2024 · External reference
A transfer learning framework with trend-constrained residual diffusion augmentation for few-shot cross-domain battery state of health estimation
2026 · External reference
Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory
10.1016/j.apenergy.2023.121294 · ExternalCitation · doi-reference
BenchXAI: Comprehensive benchmarking of post-hoc explainable AI methods on multi-modal biomedical data
10.1016/j.compbiomed.2025.110124 · ExternalCitation · doi-reference
Machine learning and bayesian optimization for performance prediction of proton-exchange membrane fuel cells
10.1016/j.egyai.2024.100380 · ExternalCitation · doi-reference
Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence
10.1016/j.egyai.2025.100577 · ExternalCitation · doi-reference
Investigation of fuel cell stack performance degradation based on 1000 h durability experiments and long short-term memory prediction frameworks under dynamic load conditions
10.1016/j.egyai.2025.100628 · ExternalCitation · doi-reference
Li-ion battery capacity prediction using improved temporal fusion transformer model
10.1016/j.energy.2024.131114 · ExternalCitation · doi-reference
Remaining useful life prediction of PEMFCs based on mode decomposition and hybrid method under real-world traffic conditions
10.1016/j.energy.2024.134279 · ExternalCitation · doi-reference
Short-term smart grid energy forecasting using a hybrid deep learning method on univariate and multivariate data sets
10.1016/j.energy.2025.138081 · ExternalCitation · doi-reference
A parallel LTCN-PHA network for remaining useful life prediction of lithium-ion batteries
10.1016/j.energy.2025.138436 · ExternalCitation · doi-reference
Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths
10.1016/j.engappai.2022.104998 · ExternalCitation · doi-reference
Modeling of microbial fuel cell power generation using machine learning-based super learner algorithms
10.1016/j.fuel.2023.128646 · ExternalCitation · doi-reference
Transfer learning-based deep learning models for proton exchange membrane fuel remaining useful life prediction
10.1016/j.fuel.2024.131461 · ExternalCitation · doi-reference
Cross-domain electrochemical impedance spectroscopy reconstruction for PEMFC aging characterization: a time-frequency PINN framework with ECM priors
10.1016/j.geits.2026.100438 · ExternalCitation · doi-reference
A non-stationary transformer-based remaining useful life prediction method for proton exchange membrane fuel cells
10.1016/j.ijhydene.2024.02.150 · ExternalCitation · doi-reference
Self-adaptive digital twin of fuel cell for remaining useful lifetime prediction
10.1016/j.ijhydene.2024.09.266 · ExternalCitation · doi-reference
A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
10.1016/j.ijhydene.2024.11.127 · ExternalCitation · doi-reference
Enhanced performance prediction for proton exchange membrane fuel cells: a comprehensive study with different load profiles
10.1016/j.ijhydene.2024.12.348 · ExternalCitation · doi-reference
Short and long-term prognostics of the remaining useful life of a proton exchange membrane fuel cell using deep learning and transformer model
10.1016/j.ijhydene.2024.12.512 · ExternalCitation · doi-reference
PEMFC performance degradation prediction model based on temporal convolutional network coupling bi-directional long short-term memory and sparrow search optimization algorithm
10.1016/j.ijhydene.2025.153348 · ExternalCitation · doi-reference
Degradation prediction based on physics-constrained data-driven framework for hydrogen fuel cell lifetime
10.1016/j.ijhydene.2026.153438 · ExternalCitation · doi-reference
A review on lifetime prediction of proton exchange membrane fuel cells system
10.1016/j.jpowsour.2022.231256 · ExternalCitation · doi-reference
A prediction method with uncertainty-aware for the remaining useful life and state of health of the proton exchange membrane fuel stack
10.1016/j.jpowsour.2025.238844 · ExternalCitation · doi-reference
Metaheuristic optimization of flight control and power conversion in fuel cell-powered quadrotors
10.1016/j.jpowsour.2026.239708 · ExternalCitation · doi-reference
Future prediction on the remaining useful life of proton exchange membrane fuel using temporal fusion transformer model
10.1016/j.renene.2025.123019 · ExternalCitation · doi-reference
Remaining useful life prediction of vehicle-oriented PEMFCs based on seasonal trends and hybrid data-driven models under real-world traffic conditions
10.1016/j.renene.2025.123193 · ExternalCitation · doi-reference
AI-enhanced RUL prediction of PEMFCs under dynamic operating conditions using XGBoost-based HI extraction and hybrid transformer-GRU model
10.1016/j.ress.2025.112042 · ExternalCitation · doi-reference
10.1103/4t7t-v19l
10.1103/4t7t-v19l · ExternalCitation · doi-reference
An LSTM and ANN fusion dynamic model of a proton exchange membrane fuel cell
10.1109/tii.2022.3196621 · ExternalCitation · doi-reference
PEMFC RUL Prediction for non-stationary time series based on crossformer model
10.3390/app15052515 · ExternalCitation · doi-reference
Application of machine learning in fuel cell research
10.3390/en16114390 · ExternalCitation · doi-reference
The degradation prediction of proton exchange membrane fuel cell performance based on a transformer model
10.3390/en17123050 · ExternalCitation · doi-reference
10.52202/085713-0410
10.52202/085713-0410 · ExternalCitation · doi-reference
