Details about Te Han Sr.

Access statistics for papers by Te Han Sr..

Last updated 2026-06-08. Update your information in the RePEc Author Service.

Short-id: pha1518

Journal Articles

2026

1. Utilizing large-scale foundation models for prognostics and health management in wind turbines: Techniques, challenges, and future directions
   Renewable and Sustainable Energy Reviews, 2026, 227, (C)

2025

2. Adaptive multi-domain capacity estimation for battery energy storage system based on multi-scale random sequence feature fusion
   Energy, 2025, 319, (C)
3. Bi-level optimization and sustainability assessment of data center integrated energy system based on emergy theory
   Energy, 2025, 334, (C) View citations (1)
4. Causal neural network for carbon prices probabilistic forecasting
   Applied Energy, 2025, 397, (C)
5. Comprehensive evaluation of all-element flexibility resources in data centers: considering synergistic benefits of computing, electricity, and heat
   Applied Energy, 2025, 399, (C)
6. Confidence-aware quantile Transformer for reliable degradation prediction of battery energy storage systems
   Reliability Engineering and System Safety, 2025, 260, (C) View citations (2)

2024

7. A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
   Reliability Engineering and System Safety, 2024, 248, (C) View citations (11)
8. Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives
   Renewable and Sustainable Energy Reviews, 2024, 205, (C) View citations (4)
9. Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems
   Energy, 2024, 294, (C) View citations (3)
10. Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems
    Energy, 2024, 291, (C) View citations (12)

2023

11. An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications
    Reliability Engineering and System Safety, 2023, 229, (C) View citations (12)
12. Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
    Energy, 2023, 271, (C) View citations (27)
13. Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis
    Reliability Engineering and System Safety, 2023, 236, (C) View citations (54)

2022

14. Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles
    Reliability Engineering and System Safety, 2022, 226, (C) View citations (48)
15. Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework
    Reliability Engineering and System Safety, 2022, 224, (C) View citations (40)

2021

16. Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression
    Reliability Engineering and System Safety, 2021, 216, (C) View citations (16)

2020

17. Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model
    Energies, 2020, 13, (18), 1-20 View citations (3)