Research portfolio
Selected publications
The research record includes 213 Scopus-indexed documents (24 October 2026) and 40 IEEE Transactions papers (October 2026). Selected publications are listed below. For the complete and continuously updated record, visit ORCID, Google Scholar, or Scopus.
Trustworthy AI and cyber-physical resilience
- 2026QSTAformer: A quantum-enhanced Transformer for robust short-term voltage stability assessment against adversarial attacks. Applied Energy, 405, 127196.
- 2026ZTFed-MAS2S: A zero-trust federated learning framework with verifiable privacy and trust-aware aggregation for wind power data imputation. IEEE Transactions on Industrial Informatics, 22(1), 165–175.
- 2024Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance. Renewable and Sustainable Energy Reviews, 189, 113913.
- 2022Detection of false data injection attacks in smart grid: A secure federated deep learning approach. IEEE Transactions on Smart Grid, 13(6), 4862–4872.
Safe and physics-informed decision intelligence
- 2026A physics-informed graph convolution network for AC optimal power flow via refining DC solution. IEEE Transactions on Power Systems, 41(1), 438–453.
- 2026Robust reinforcement learning-based resilient operation of networked microgrids. IEEE Transactions on Industry Applications, 62(2), 3515–3530.
- 2025Safe-AutoSAC: AutoML-enhanced safe deep reinforcement learning for integrated energy system scheduling. Applied Energy, 399, 126468.
- 2025Physics-informed deep reinforcement learning-based bi-level programming for microgrid scheduling. IEEE Transactions on Industry Applications, 61(1), 1488–1500.
- 2024Federated multiagent deep reinforcement learning approach via physics-informed reward for multimicrogrid energy management. IEEE Transactions on Neural Networks and Learning Systems, 35(5), 5902–5914.
Robust operation of renewable-rich energy systems
- 2026Yang Yu, Boxiao Wang, Ziming Sun, Xiao Chen, Yulong Jia, and Yang Li. Echelon Energy Management Strategy for Multi-Battery Energy Storage Systems Based on Fixed-Time Proportional Optimal Consensus. IEEE Transactions on Energy Conversion, Early Access, pp. 1–17, published 15 October 2026. DOI: 10.1109/TEC.2026.3743895.
- 2025Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning. Applied Energy, 379, 124831.
- 2023Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response. Applied Energy, 335, 120749.
- 2023Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach. Applied Energy, 329, 120291.
- 2022Optimal scheduling of isolated microgrids using automated reinforcement learning-based multi-period forecasting. IEEE Transactions on Sustainable Energy, 13(1), 159–169.
- 2021Coordinating flexible demand response and renewable uncertainties for scheduling of community integrated energy systems with an electric vehicle charging station. IEEE Transactions on Sustainable Energy, 12(4), 2321–2331.
- 2019Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties. IEEE Transactions on Industrial Electronics, 66(2), 1565–1575.
- 2018Optimal distributed generation planning in active distribution networks considering integration of energy storage. Applied Energy, 210, 1073–1081.