Deep-reinforcement-learning-based autonomous voltage control for power grid operations J Duan, D Shi, R Diao, H Li, Z Wang, B Zhang, D Bian, Z Yi IEEE Transactions on Power Systems 35 (1), 814-817, 2019 | 344 | 2019 |
Decision tree-based online voltage security assessment using PMU measurements R Diao, K Sun, V Vittal, RJ O'Keefe, MR Richardson, N Bhatt, D Stradford, ... IEEE Transactions on Power systems 24 (2), 832-839, 2009 | 334 | 2009 |
The power grid library for benchmarking ac optimal power flow algorithms S Babaeinejadsarookolaee, A Birchfield, RD Christie, C Coffrin, ... arXiv preprint arXiv:1908.02788, 2019 | 245 | 2019 |
A data-driven multi-agent autonomous voltage control framework using deep reinforcement learning S Wang, J Duan, D Shi, C Xu, H Li, R Diao, Z Wang IEEE Transactions on Power Systems 35 (6), 4644-4654, 2020 | 241 | 2020 |
Decision tree-based preventive and corrective control applications for dynamic security enhancement in power systems I Genc, R Diao, V Vittal, S Kolluri, S Mandal IEEE Transactions on Power Systems 25 (3), 1611-1619, 2010 | 211 | 2010 |
Design of a real-time security assessment tool for situational awareness enhancement in modern power systems R Diao, V Vittal, N Logic IEEE Transactions on Power systems 25 (2), 957-965, 2009 | 196 | 2009 |
Assessing Gaussian assumption of PMU measurement error using field data S Wang, J Zhao, Z Huang, R Diao IEEE Transactions on Power Delivery 33 (6), 3233-3236, 2017 | 190 | 2017 |
Centralized and decentralized control for demand response S Lu, N Samaan, R Diao, M Elizondo, C Jin, E Mayhorn, Y Zhang, ... ISGT 2011, 1-8, 2011 | 150 | 2011 |
Modeling of electric water heaters for demand response: A baseline PDE model Z Xu, R Diao, S Lu, J Lian, Y Zhang IEEE Transactions on Smart Grid 5 (5), 2203-2210, 2014 | 126 | 2014 |
Electric water heater modeling and control strategies for demand response R Diao, S Lu, M Elizondo, E Mayhorn, Y Zhang, N Samaan 2012 IEEE power and energy society general meeting, 1-8, 2012 | 125 | 2012 |
Autonomous voltage control for grid operation using deep reinforcement learning R Diao, Z Wang, D Shi, Q Chang, J Duan, X Zhang 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 122 | 2019 |
Calibrating parameters of power system stability models using advanced ensemble Kalman filter R Huang, R Diao, Y Li, J Sanchez-Gasca, Z Huang, B Thomas, P Etingov, ... IEEE Transactions on Power Systems 33 (3), 2895-2905, 2017 | 119 | 2017 |
Benchmarking quasi-steady state cascading outage analysis methodologies P Henneaux, E Ciapessoni, D Cirio, E Cotilla-Sanchez, R Diao, I Dobson, ... 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 77 | 2018 |
A data-driven method for fast ac optimal power flow solutions via deep reinforcement learning Y Zhou, B Zhang, C Xu, T Lan, R Diao, D Shi, Z Wang, WJ Lee Journal of Modern Power Systems and Clean Energy 8 (6), 1128-1139, 2020 | 73 | 2020 |
Decision tree assisted controlled islanding for preventing cascading events R Diao, V Vittal, K Sun, S Kolluri, S Mandal, F Galvan 2009 IEEE/PES Power Systems Conference and Exposition, 1-8, 2009 | 73 | 2009 |
AI-based autonomous line flow control via topology adjustment for maximizing time-series ATCs T Lan, J Duan, B Zhang, D Shi, Z Wang, R Diao, X Zhang 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 62 | 2020 |
Precise fault location on transmission lines using ensemble Kalman filter R Fan, Y Liu, R Huang, R Diao, S Wang IEEE transactions on power delivery 33 (6), 3252-3255, 2018 | 59 | 2018 |
Comparative implementation of high performance computing for power system dynamic simulations S Jin, Z Huang, R Diao, D Wu, Y Chen IEEE Transactions on Smart Grid 8 (3), 1387-1395, 2017 | 59 | 2017 |
An innovative software tool suite for power plant model validation and parameter calibration using PMU measurements Y Li, R Diao, R Huang, P Etingov, X Li, Z Huang, S Wang, ... 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 50 | 2017 |
On multi-event co-calibration of dynamic model parameters using soft actor-critic S Wang, R Diao, C Xu, D Shi, Z Wang IEEE Transactions on Power Systems 36 (1), 521-524, 2020 | 49 | 2020 |