| 5G network-based Internet of Things for demand response in smart grid: A survey on application potential H Hui, Y Ding, Q Shi, F Li, Y Song, J Yan Applied Energy 257, 113972, 2020 | 400 | 2020 |
| Analytical method to aggregate multi-machine SFR model with applications in power system dynamic studies Q Shi, F Li, H Cui IEEE Transactions on Power Systems 33 (6), 6355-6367, 2018 | 343 | 2018 |
| Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience Q Shi, F Li, M Olama, J Dong, Y Xue, M Starke, C Winstead, T Kuruganti International Journal of Electrical Power & Energy Systems 124, 106355, 2021 | 189 | 2021 |
| Potential harmonic resonance impacts of PV inverter filters on distribution systems H Hu, Q Shi, Z He, J He, S Gao IEEE Transactions on Sustainable Energy 6 (1), 151-161, 2015 | 169 | 2015 |
| Dynamic demand control for system frequency regulation: Concept review, algorithm comparison, and future vision Q Shi, F Li, Q Hu, Z Wang Electric Power Systems Research 154, 75-87, 2018 | 155 | 2018 |
| A Monte Carlo simulation platform for studying low voltage residential networks R Torquato, Q Shi, W Xu, W Freitas IEEE Transactions on Smart Grid 5 (6), 2766-2776, 2014 | 145 | 2014 |
| Estimating the profile of incentive-based demand response (IBDR) by integrating technical models and social-behavioral factors Q Shi, CF Chen, A Mammoli, F Li IEEE Transactions on Smart Grid 11 (1), 171-183, 2020 | 134 | 2020 |
| Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage S Liu, C Zhou, H Guo, Q Shi, TE Song, I Schomer, Y Liu Protection and Control of Modern Power Systems 6, 1-10, 2021 | 110 | 2021 |
| Enhancing distribution system resilience against extreme weather events: Concept review, algorithm summary, and future vision Q Shi, W Liu, B Zeng, H Hui, F Li International Journal of Electrical Power & Energy Systems 138, 107860, 2022 | 104 | 2022 |
| Thermostatic load control for system frequency regulation considering daily demand profile and progressive recovery Q Shi, F Li, G Liu, D Shi, Z Yi, Z Wang IEEE Transactions on Smart Grid 10 (6), 6259-6270, 2019 | 103 | 2019 |
| Electric vehicle aggregator modeling and control for frequency regulation considering progressive state recovery M Wang, Y Mu, Q Shi, H Jia, F Li IEEE Transactions on Smart Grid 11 (5), 4176-4189, 2020 | 101 | 2020 |
| Tri-level scheduling model considering residential demand flexibility of aggregated HVACs and EVs under distribution LMP X Wang, F Li, J Dong, MM Olama, Q Zhang, Q Shi, B Park, T Kuruganti IEEE Transactions on Smart Grid 12 (5), 3990-4002, 2021 | 88 | 2021 |
| State space model of aggregated electric vehicles for frequency regulation M Wang, Y Mu, F Li, H Jia, X Li, Q Shi, T Jiang IEEE Transactions on Smart Grid 11 (2), 981-994, 2019 | 85 | 2019 |
| Resilience-oriented DG siting and sizing considering stochastic scenario reduction Q Shi, F Li, T Kuruganti, MM Olama, J Dong, X Wang, C Winstead IEEE Transactions on Power Systems 36 (4), 3715-3727, 2021 | 82 | 2021 |
| A hybrid dynamic demand control strategy for power system frequency regulation Q Shi, H Cui, F Li, Y Liu, W Ju, Y Sun CSEE Journal of Power and Energy Systems 3 (2), 176-185, 2017 | 75 | 2017 |
| A multi-stage optimization approach for active distribution network scheduling considering coordinated electrical vehicle charging strategy X Zhu, H Han, S Gao, Q Shi, H Cui, G Zu IEEE access 6, 50117-50130, 2018 | 72 | 2018 |
| Security region of natural gas network in electricity-gas integrated energy system X Li, G Tian, Q Shi, T Jiang, F Li, H Jia International Journal of Electrical Power & Energy Systems 117, 105601, 2020 | 60 | 2020 |
| Residential HVAC aggregation based on risk-averse multi-armed bandit learning for secondary frequency regulation X Chen, Q Hu, Q Shi, X Quan, Z Wu, F Li Journal of Modern Power Systems and Clean Energy 8 (6), 1160-1167, 2020 | 49 | 2020 |
| Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience Q Shi, F Li, J Dong, M Olama, X Wang, C Winstead, T Kuruganti Applied Energy 318, 119245, 2022 | 48 | 2022 |
| Low‐order harmonic characteristics of photovoltaic inverters Q Shi, H Hu, W Xu, J Yong International transactions on electrical energy systems 26 (2), 347-364, 2016 | 45 | 2016 |
Fangxing (Fran) LiJohn W. Fisher Professor at Univ. of Tennessee, IEEE Fellow, Director of CURENT, EIC of IEEE OAJPEBestätigte E-Mail-Adresse bei utk.edu