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Ruisheng Diao, Ph.D., PE, FIET
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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
4062019
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
3432009
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
2932020
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
2882019
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
2232010
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
2132017
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
2062009
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
1562011
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
1462019
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
1352014
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
1342012
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
1252017
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
992020
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
822018
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
762020
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
752009
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
642017
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
622020
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
612018
Deep reinforcement learning based real-time AC optimal power flow considering uncertainties
Y Zhou, WJ Lee, R Diao, D Shi
Journal of Modern Power Systems and Clean Energy 10 (5), 1098-1109, 2021
542021
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