Evaluation and sequential dispatch of operating reserve provided by air conditioners considering lead–lag rebound effect W Cui, Y Ding, H Hui, Z Lin, P Du, Y Song, C Shao IEEE Transactions on Power Systems 33 (6), 6935-6950, 2018 | 85 | 2018 |
Reinforcement learning for optimal primary frequency control: A Lyapunov approach W Cui, Y Jiang, B Zhang IEEE Transactions on Power Systems 38 (2), 1676-1688, 2022 | 70 | 2022 |
Multi-state operating reserve model of aggregate thermostatically-controlled-loads for power system short-term reliability evaluation Y Ding, W Cui, S Zhang, H Hui, Y Qiu, Y Song Applied Energy 241, 46-58, 2019 | 50 | 2019 |
Decentralized safe reinforcement learning for inverter-based voltage control W Cui, J Li, B Zhang Electric Power Systems Research 211, 108609, 2022 | 46* | 2022 |
Design of business model and market framework oriented to active demand response of power demand side Y Ding, H Hui, Z Lin, M Zheng, X Qu, W Cui Automation of Electric Power Systems 41 (14), 2-9, 2017 | 46 | 2017 |
Lyapunov-regularized reinforcement learning for power system transient stability W Cui, B Zhang IEEE Control Systems Letters 6, 974-979, 2021 | 30 | 2021 |
Design of a graphical user interface for few-shot machine learning classification of electron microscopy data C Doty, S Gallagher, W Cui, W Chen, S Bhushan, M Oostrom, S Akers, ... Computational Materials Science 203, 111121, 2022 | 22 | 2022 |
Review of market power assessment and mitigation in reshaping of power systems N Shang, Y Ding, W Cui Journal of Modern Power Systems and Clean Energy 10 (5), 1067-1084, 2021 | 19 | 2021 |
Exploiting Integrated Demand Response for Operating Reserve Provision Considering Rebound Effects X Zhou, M Sang, M Bao, S Wang, W Cui, C Ye, Y Ding IEEE Access 10, 15151-15162, 2022 | 14 | 2022 |
Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach Y Jiang, W Cui, B Zhang, J Cortés IEEE Open Journal of Control Systems 1, 194-209, 2022 | 12 | 2022 |
A Frequency Domain Approach to Predict Power System Transients W Cui, W Yang, B Zhang IEEE Transactions on Power Systems, 2023 | 11* | 2023 |
Equilibrium-independent stability analysis for distribution systems with lossy transmission lines W Cui, B Zhang IEEE Control Systems Letters 6, 3349-3354, 2022 | 8 | 2022 |
Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach with Safe Gradient Flow J Feng, W Cui, J Cortés, Y Shi IEEE Control Systems Letters 7, 2845-2850, 2023 | 7 | 2023 |
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees W Cui, Y Jiang, B Zhang, Y Shi Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
Two-stage payback model for the assessment of curtailment services provided by air conditioners W Cui, Y Ding, H Hui, M Li Energy Procedia 142, 2050-2056, 2017 | 6 | 2017 |
Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees W Cui, Y Jiang, B Zhang, Y Shi arXiv preprint arXiv:2206.00261, 2022 | 5 | 2022 |
Leveraging Predictions in Power System Frequency Control: an Adaptive Approach W Cui, G Shi, Y Shi, B Zhang arXiv preprint arXiv:2305.12044, 2023 | 3 | 2023 |
Design of capacity incentive and energy compensation for demand response programs Z Liu, W Cui, R Shen, Y Hu, H Wu, C Ye IOP Conference Series: Earth and Environmental Science 121 (5), 052059, 2018 | 2 | 2018 |
Equilibria of Fully Decentralized Learning in Networked Systems Y Jiang, W Cui, B Zhang, J Cortés Learning for Dynamics and Control Conference, 333-345, 2023 | 1 | 2023 |
Efficient Reinforcement Learning Through Trajectory Generation W Cui, L Huang, W Yang, B Zhang Learning for Dynamics and Control Conference, 371-382, 2023 | 1 | 2023 |