| Energycoupon: A case study on incentive-based demand response in smart grid B Xia, H Ming, KY Lee, Y Li, Y Zhou, S Bansal, S Shakkottai, L Xie Proceedings of the eighth international conference on future energy systems …, 2017 | 46 | 2017 |
| Exploration of graph computing in power system state estimation C Yuan, Y Zhou, G Zhang, G Liu, R Dai, X Chen, Z Wang 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 41 | 2018 |
| Graph computing-based wls fast decoupled state estimation C Yuan, Y Zhou, G Liu, R Dai, Y Lu, Z Wang IEEE Transactions on Smart Grid 11 (3), 2440-2451, 2019 | 35 | 2019 |
| False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility Analysis Y Zhou, J Cisneros, L Xie 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 14 | 2018 |
| Detection of bad data in multi-area state estimation Y Zhou, L Xie 2017 IEEE Texas Power and Energy Conference (TPEC), 1-6, 2017 | 11 | 2017 |
| Substation-level grid topology optimization using bus splitting Y Zhou, AS Zamzam, A Bernstein, H Zhu 2021 American Control Conference (ACC), 1-7, 2021 | 10 | 2021 |
| Distributionally robust chance-constrained optimal transmission switching for renewable integration Y Zhou, H Zhu, GA Hanasusanto IEEE Transactions on Sustainable Energy 14 (1), 140-151, 2022 | 9 | 2022 |
| Appliance level short-term load forecasting via recurrent neural network Y Zhou, AS Nair, D Ganger, A Tripathi, C Baone, H Zhu 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 9 | 2022 |
| Bus split sensitivity analysis for enhanced security in power system operations Y Zhou, H Zhu 2019 North American Power Symposium (NAPS), 1-6, 2019 | 9 | 2019 |
| Scalable learning for optimal load shedding under power grid emergency operations Y Zhou, J Park, H Zhu 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 7 | 2022 |
| Transmission switching under wind uncertainty using linear decision rules Y Zhou, H Zhu, GA Hanasusanto 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 6 | 2020 |
| Optimal power system topology control under uncertain wildfire risk Y Zhou, K Sundar, D Deka, H Zhu arXiv e-prints, arXiv: 2303.07558, 2023 | 5 | 2023 |
| Efficient identification of bus split events using synchrophasor data Y Zhou, H Zhu IEEE Transactions on Power Systems 36 (5), 4800-4808, 2021 | 4 | 2021 |
| Equitable networked microgrid topology reconfiguration for wildfire risk mitigation Y Zhou, A Zamzam, A Bernstein arXiv preprint arXiv:2402.04444, 2024 | 3 | 2024 |
| Transmission Line Outage Probability Prediction Under Extreme Events Using Peter-Clark Bayesian Structural Learning X Chen, Q Huang, Y Zhou arXiv preprint arXiv:2411.11980, 2024 | 1 | 2024 |
| A Data-Driven Approach for High-Impedance Fault Localization in Distribution Systems Y Zhou, Y Dong, R Yang 2024 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2024 | 1 | 2024 |
| Machine Learning-Assisted Distribution System Network Reconfiguration Problem R Asiamah, Y Zhou, AS Zamzam 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), 1-5, 2025 | | 2025 |
| Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency Y Zhou, H Zhu IEEE Transactions on Power Systems, 2025 | | 2025 |
| Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid Operations Y Zhou, C Feng, M Zhang, R Yang arXiv preprint arXiv:2411.09783, 2024 | | 2024 |
| Machine Learning for Equitable Load Shedding: Real-time Solution via Learning Binding Constraints Y Zhou, J Severino, S Vijayshankar, J Ugirumurera, J Sanyal arXiv preprint arXiv:2407.18989, 2024 | | 2024 |
Hao ZhuAssociate Professor of ECEVerified email at utexas.edu
