Publications

1. P. Verma, D. Shi, Y. Ye, F. Wang, and Y. Zhang, “Impact of Solar Integration on Grid Security: Unveiling Vulnerabilities in Load Redistribution Attacks,” in Proc. 2025 Powertech, 2025.
2. Y. Zhang, Y. Wang, Y. Zhang, E. C. Larson, F. Sui, and D. Shi, “On the Potential of Digital Twins for Distribution System State Estimation with Randomly Missing Data in Heterogeneous Measurements,” in Proc. 2025 IEEE PES General Meeting, Austin, TX, pp. 1-5, 2025.
3. Y. Zhang, Y. Zhang, L. Wang, and M. Shahidehpour, “Weather-Dependent Power Flow in Distribution Systems under Extreme Weather: Case Study and Risk Assessment in Wildfire Scenarios,” in Proc. 2025 IEEE PES General Meeting, Austin, TX, pp. 1-5, 2025.
4. Y. Zhang, Y. Zhang, L. Wang, and A. Zhou, “Weather-Dependent Fast Power Flow in Distribution Systems: A Meteorological-Data-Aided Method,” in Proc. 2025 IEEE Texas Power and Energy Conf. (TPEC), 2025. [Link.]
5. X. Han, M. H. L. Kaas, and C. Wang, “A cross-cultural examination of fairness beliefs in human-AI interaction,” in Ethics of Institutional Beliefs: From Theoretical to Empirical, A. Dyrda, M. Juzaszek, B. Biskup, and C. Wang, Eds., Edward Elgar Publishing, Jan. 2025. [Link.]
6. S. Chung, Y. Zhang, and Y. Zhang, “Knowledge-Inspired Data-Aided Robust Power Flow in Distribution Networks With ZIP Loads and High DER Penetration,” IEEE Trans. Ind. Appl., vol. 61, no. 1, pp. 1523-1532, Jan.-Feb. 2025. [Link.]
7. D. Shi, Q. Zhang, M. Hong, F. Wang, S. Maslennikov, X. Luo, and Y. Chen, “Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights,” IEEE PES ISGT Europe, 2024. [Link.]
8. J. Ansu, F. Wang, and D. Shi, “Impact Assessment of Synthetic Inertia and Demand Response on Unit Commitment in Electricity Markets,” in Proc. 2024 56th North American Power Symp. (NAPS), pp. 1-6, 2024. [Link.]