Yuanyuan Shi
Yuanyuan Shi
Assistant Professor, UCSD
Verified email at eng.ucsd.edu - Homepage
Title
Cited by
Cited by
Year
Using battery storage for peak shaving and frequency regulation: Joint optimization for superlinear gains
Y Shi, B Xu, D Wang, B Zhang
IEEE Transactions on Power Systems 33 (3), 2882-2894, 2017
1962017
Optimal battery participation in frequency regulation markets
B Xu, Y Shi, DS Kirschen, B Zhang
IEEE Transactions on Power Systems 33 (6), 6715-6725, 2018
742018
Optimal control via neural networks: A convex approach
Y Chen, Y Shi, B Zhang
International Conference on Learning Representations (ICLR 2019), 2018
672018
Optimal battery control under cycle aging mechanisms in pay for performance settings
Y Shi, B Xu, Y Tan, D Kirschen, B Zhang
IEEE Transactions on Automatic Control 64 (6), 2324-2339, 2018
512018
Leveraging energy storage to optimize data center electricity cost in emerging power markets
Y Shi, B Xu, B Zhang, D Wang
Proceedings of the Seventh International Conference on Future Energy Systems …, 2016
492016
A convex cycle-based degradation model for battery energy storage planning and operation
Y Shi, B Xu, Y Tan, B Zhang
2018 Annual American Control Conference (ACC), 4590-4596, 2018
392018
Robust reinforcement learning for continuous control with model misspecification
DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ...
International Conference on Learning Representations (ICLR 2020), 2019
282019
Modeling and optimization of complex building energy systems with deep neural networks
Y Chen, Y Shi, B Zhang
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1368-1373, 2017
262017
Data-driven optimal voltage regulation using input convex neural networks
Y Chen, Y Shi, B Zhang
Electric Power Systems Research 189, 106741, 2020
22*2020
Optimal regulation response of batteries under cycle aging mechanisms
B Xu, Y Shi, DS Kirschen, B Zhang
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 751-756, 2017
162017
A practical end-to-end inventory management model with deep learning
M Qi, Y Shi, Y Qi, C Ma, R Yuan, D Wu, ZJM Shen
Available at SSRN 3737780, 2020
42020
Safe reinforcement learning of control-affine systems with vertex networks
L Zheng, Y Shi, LJ Ratliff, B Zhang
Learning for Dynamics and Control, 336-347, 2021
32021
No-regret learning in cournot games
Y Shi, B Zhang
arXiv preprint arXiv:1906.06612, 2019
22019
Stable online control of linear time-varying systems
G Qu, Y Shi, S Lale, A Anandkumar, A Wierman
Learning for Dynamics and Control, 742-753, 2021
12021
Multi-agent reinforcement learning in cournot games
Y Shi, B Zhang
2020 59th IEEE Conference on Decision and Control (CDC), 3561-3566, 2020
12020
Understanding the Safety Requirements for Learning-based Power Systems Operations
Y Chen, D Arnold, Y Shi, S Peisert
arXiv preprint arXiv:2110.04983, 2021
2021
Stability Constrained Reinforcement Learning for Real-Time Voltage Control
Y Shi, G Qu, S Low, A Anandkumar, A Wierman
arXiv preprint arXiv:2109.14854, 2021
2021
End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning
Y Shi, B Xu
arXiv preprint arXiv:2109.00741, 2021
2021
Learning and Control for Energy Systems Under Uncertainty
Y Shi
PQDT-Global, 2020
2020
Stable Online Control of Linear Time-Varying Systems Open Website
G Qu, Y Shi, S Lale, A Anandkumar, A Wierman
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