| Incorporating wind energy in power system restoration planning A Golshani, W Sun, Q Zhou, QP Zheng, Y Hou IEEE Transactions on Smart Grid 10 (1), 16-28, 2017 | 124 | 2017 |
| Two-stage adaptive restoration decision support system for a self-healing power grid A Golshani, W Sun, Q Zhou, QP Zheng, J Tong IEEE Transactions on Industrial Informatics 13 (6), 2802-2812, 2017 | 91 | 2017 |
| Short-term congestion forecasting in wholesale power markets Q Zhou, L Tesfatsion, CC Liu IEEE Transactions on Power Systems 26 (4), 2185-2196, 2011 | 90 | 2011 |
| Coordination of wind farm and pumped-storage hydro for a self-healing power grid A Golshani, W Sun, Q Zhou, QP Zheng, J Wang, F Qiu IEEE Transactions on Sustainable Energy 9 (4), 1910-1920, 2018 | 89 | 2018 |
| Physics-guided deep learning for power system state estimation L Wang, Q Zhou, S Jin Journal of Modern Power Systems and Clean Energy 8 (4), 607-615, 2020 | 83 | 2020 |
| A copula-based Bayesian method for probabilistic solar power forecasting H Panamtash, Q Zhou, T Hong, Z Qu, KO Davis Solar Energy 196, 336-345, 2020 | 79 | 2020 |
| Impact of demand response contracts on load forecasting in a smart grid environment Q Zhou, W Guan, W Sun 2012 IEEE Power and Energy Society General Meeting, 1-4, 2012 | 61 | 2012 |
| Model predictive control for the operation of a transcritical CO2 air source heat pump water heater W Wang, Z Zhao, Q Zhou, Y Qiao, F Cao Applied Energy 300, 117339, 2021 | 53 | 2021 |
| Predictive coordinated and cooperative voltage control for systems with high penetration of PV S Mahdavi, H Panamtash, A Dimitrovski, Q Zhou IEEE transactions on industry applications 57 (3), 2212-2222, 2021 | 51 | 2021 |
| Neural-network-based power system state estimation with extended observability G Tian, Y Gu, D Shi, J Fu, Z Yu, Q Zhou Journal of Modern Power Systems and Clean Energy 9 (5), 1043-1053, 2021 | 37 | 2021 |
| A hybrid-learning algorithm for online dynamic state estimation in multimachine power systems G Tian, Q Zhou, R Birari, J Qi, Z Qu IEEE transactions on neural networks and learning systems 31 (12), 5497-5508, 2020 | 36 | 2020 |
| Coherent probabilistic solar power forecasting H Panamtash, Q Zhou 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 35 | 2018 |
| The intermediate temperature optimization for cascade refrigeration system and air source heat pump via extreme seeking control W Wang, Q Zhou, G Tian, B Hu, Y Li, F Cao International Journal of Refrigeration 117, 150-162, 2020 | 32 | 2020 |
| Real-time flexibility quantification of a building HVAC system for peak demand reduction G Tian, QZ Sun, W Wang IEEE Transactions on Power Systems 37 (5), 3862-3874, 2021 | 25 | 2021 |
| A novel defrosting initiation strategy based on convolutional neural network for air-source heat pump W Wang, Q Zhou, G Tian, Y Wang, Z Zhao, F Cao International Journal of Refrigeration 128, 95-103, 2021 | 22 | 2021 |
| A control framework to enable a commercial building HVAC system for energy and regulation market signal tracking W Wang, G Tian, QZ Sun, H Liu IEEE Transactions on Power Systems 38 (1), 290-301, 2022 | 20 | 2022 |
| A Nash approach to planning merchant transmission for renewable resource integration Q Zhou, L Tesfatsion, CC Liu, RF Chu, W Sun IEEE Transactions on Power Systems 28 (3), 2086-2100, 2013 | 19 | 2013 |
| On battery storage system for load pickup in power system restoration N Kadel, W Sun, Q Zhou 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 18 | 2014 |
| Probabilistic solar power forecasting: A review and comparison H Panamtash, S Mahdavi, Q Zhou 2020 52nd North American Power Symposium (NAPS), 1-6, 2021 | 17 | 2021 |
| Scenario generation for price forecasting in restructured wholesale power markets Q Zhou, L Tesfatsion, CC Liu 2009 IEEE/PES Power Systems Conference and Exposition, 1-8, 2009 | 17 | 2009 |