Consensus-based distributed economic dispatch control method in power systems Q Li, DW Gao, H Zhang, Z Wu, F Wang IEEE transactions on smart grid 10 (1), 941-954, 2017 | 147 | 2017 |
Application of AI techniques in monitoring and operation of power systems DW Gao, Q Wang, F Zhang, X Yang, Z Huang, S Ma, Q Li, X Gong, ... Frontiers in Energy 13, 71-85, 2019 | 25 | 2019 |
Evolutionary deep learning with extended Kalman filter for effective prediction modeling and efficient data assimilation Q Li, ZY Wu, A Rahman Journal of Computing in Civil Engineering 33 (3), 04019014, 2019 | 18 | 2019 |
Fault prediction method based on SVR of improved PSO J Zou, C Li, Q Yang, Q Li The 27th Chinese Control and Decision Conference (2015 CCDC), 1671-1675, 2015 | 18 | 2015 |
Fully distributed state estimation for power system with information propagation algorithm Q Li, L Cheng, W Gao, DW Gao Journal of Modern Power Systems and Clean Energy 8 (4), 627-635, 2020 | 16 | 2020 |
Design of passive fault tolerant control of a process system Z Li, B Dahhou, Q Li, M Zhang The 27th Chinese Control and Decision Conference (2015 CCDC), 2776-2781, 2015 | 13 | 2015 |
Robust Model Reference Adaptive Control Design for Wind Turbine Speed Regulation Simulated by Using FAST X Wang, W Gao, T Gao, Q Li, J Wang, X Li Journal of Energy Engineering 144 (2), 04018007, 2018 | 9 | 2018 |
A novel design framework for smart operating robot in power system Q Wang, X Yang, Z Huang, S Ma, Q Li, DW Gao, FY Wang IEEE/CAA Journal of Automatica Sinica 5 (2), 531-538, 2018 | 7 | 2018 |
Adaptive LQR control with Kalman filter for the variable-speed wind turbine in Region II Q Li, T Gao, DW Gao, X Wang 2017 North American Power Symposium (NAPS), 1-6, 2017 | 7 | 2017 |
Fast scenario reduction for power systems by deep learning Q Li, DW Gao arXiv preprint arXiv:1908.11486, 2019 | 3 | 2019 |
Fully distributed DC optimal power flow based on distributed economic dispatch and distributed state estimation Q Li, DW Gao, L Cheng, F Zhang, W Yan arXiv preprint arXiv:1903.01128, 2019 | 2 | 2019 |
Applying deep learning with extended Kalman filter and genetic algorithm optimization for water distribution data-driven modeling ZY Wu, A Rahman, Q Li Computing and Control for Water Industry. Sheffield, 5-11, 2017 | 2 | 2017 |
Real-time estimation of cruise duration for electric-powered Micro-UAVs L Shengnan, L Qiao, L Ningyun, J Bin The 26th Chinese Control and Decision Conference (2014 CCDC), 5113-5118, 2014 | 2 | 2014 |
A fault isolation method using interval arithmetic for nonlinear dynamic systems Z Li, B Dahhou, Q Li 2012 24th Chinese Control and Decision Conference (CCDC), 1633-1637, 2012 | 2 | 2012 |
A general data-driven algorithm for lifetime prediction Q Li, N Lu, B Jiang 2013 25th Chinese Control and Decision Conference (CCDC), 2949-2954, 2013 | 1 | 2013 |
Evolutionary deep learning with extended Kalman filter for modeling and data assimilation ZY Wu, Q Li, A Rahman US Patent 11,783,194, 2023 | | 2023 |
Fully Distributed AC Power System State Estimation with Information Propagation Algorithm Q Li, Y Shen, L Cheng, DW Gao Journal of Modern Power Systems and Clean Energy, 2022 | | 2022 |
Distributed Control, Optimization, and State Estimation for Renewable Power System Q Li University of Denver, 2021 | | 2021 |
CCWI2017: F29'APPLYING DEEP LEARNING WITH EXTENDED KALMAN FILTER AND GENETIC ALGORITHM OPTIMIZATION FOR WATER DISTRIBUTION DATA-DRIVEN MODELING' ZY Wu, A Rahman, Q Li The University of Sheffield, 2017 | | 2017 |