Research portfolio
Selected publications
Selected from 210 Scopus-indexed documents. 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
- 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.