Tianyu Zhao

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All published works

Action	Title	Year	Authors
+ PDF Chat	DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems	2022	Xiang Pan Minghua Chen Tianyu Zhao Steven H. Low
+ PDF Chat	Efficient and Robust Equilibrium Strategies of Utilities in Day-Ahead Market With Load Uncertainty	2022	Tianyu Zhao Hanling Yi Minghua Chen Chenye Wu Yunjian Xu
+ PDF Chat	DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility	2020	Tianyu Zhao Xiang Pan Minghua Chen Andreas Venzke Steven H. Low
+ PDF Chat	DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow	2020	Xiang Pan Tianyu Zhao Minghua Chen Shengyu Zhang
+	DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility	2020	Tianyu Zhao Xiang Pan Minghua Chen Andreas Venzke Steven H. Low
+ PDF Chat	DeepOPF: Deep Neural Network for DC Optimal Power Flow	2019	Xiang Pan Tianyu Zhao Minghua Chen
+	DeepOPF: Deep Neural Network for DC Optimal Power Flow	2019	Xiang Pan Tianyu Zhao Minghua Chen
+	DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow	2019	Xiang Pan Tianyu Zhao Minghua Chen Shengyu Zhang

Common Coauthors

Coauthor	Papers Together
Minghua Chen	8
Xiang Pan	7
Steven H. Low	3
Andreas Venzke	2
Chenye Wu	1
Shengyu Zhang	1
Yunjian Xu	1
Hanling Yi	1
Shengyu Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An extension of Karmarkar's projective algorithm for convex quadratic programming	1989	Yinyu Ye Edison Tse	6
+	The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms	2019	Sogol Babaeinejadsarookolaee Adam B. Birchfield R.D. Christie Carleton Coffrin Christopher L. DeMarco Ruisheng Diao Michael C. Ferris S. Fliscounakis Scott Greene Renke Huang	5
+ PDF Chat	DeepOPF: Deep Neural Network for DC Optimal Power Flow	2019	Xiang Pan Tianyu Zhao Minghua Chen	5
+	Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow	2019	Ahmed S. Zamzam Kyri Baker	4
+ PDF Chat	DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems	2022	Xiang Pan Minghua Chen Tianyu Zhao Steven H. Low	4
+	Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets	2018	Sidhant Misra Line Roald Yeesian Ng	4
+	Speeding-up linear programming using fast matrix multiplication	1989	Pravin M. Vaidya	4
+ PDF Chat	Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning	2020	Benjamin Karg Sergio Lucia	4
+ PDF Chat	Implied Constraint Satisfaction in Power System optimization: The Impacts of Load Variations	2019	Line Roald Daniel K. Molzahn	3
+ PDF Chat	Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques	2019	Stavros Karagiannopoulos Petros Aristidou Gabriela Hug	3
+ PDF Chat	Convolutional neural networks at constrained time cost	2015	Kaiming He Jian Sun	3
+ PDF Chat	DeepPose: Human Pose Estimation via Deep Neural Networks	2014	Alexander Toshev Christian Szegedy	3
+ PDF Chat	Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence	2014	Steven H. Low	3
+ PDF Chat	Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow	2020	Ahmed S. Zamzam Kyri Baker	3
+ PDF Chat	Statistical Learning for DC Optimal Power Flow	2018	Yeesian Ng Sidhant Misra Line Roald Scott Backhaus	3
+ PDF Chat	On the Properties of the Power Systems Nodal Admittance Matrix	2017	Andreas Martin Kettner Mario Paolone	3
+	Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks	2016	Itay Safran Ohad Shamir	3
+	Why Deep Neural Networks for Function Approximation?	2016	Shiyu Liang R. Srikant	3
+	Machine Learning for AC Optimal Power Flow	2019	Neel Guha Z. B. Wang Matt Wytock Arun Majumdar	3
+	DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems	2020	Xiang Pan Minghua Chen Tianyu Zhao Steven H. Low	3
+	Benefits of depth in neural networks	2016	Matus Telgarsky	2
+ PDF Chat	DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility	2020	Tianyu Zhao Xiang Pan Minghua Chen Andreas Venzke Steven H. Low	2
+	Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning	2019	Kyri Baker Andrey Bernstein	2
+ PDF Chat	Error bounds for approximations with deep ReLU networks	2017	Dmitry Yarotsky	2
+ PDF Chat	Learning Warm-Start Points For Ac Optimal Power Flow	2019	Kyri Baker	2
+	Statistical Learning For DC Optimal Power Flow	2018	Yeesian Ng Sidhant Misra Line Roald Scott Backhaus	2
+	On the Number of Linear Regions of Deep Neural Networks	2014	Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio	2
+	Learning-Accelerated ADMM for Distributed Optimal Power Flow	2019	David Biagioni Peter Gräf Xiangyu Zhang Ahmed S. Zamzam Kyri Baker Jennifer King	2
+ PDF Chat	Learning for DC-OPF: Classifying active sets using neural nets	2019	Deepjyoti Deka Sidhant Misra	2
+	A fast dual proximal gradient algorithm for convex minimization and applications	2013	Amir Beck Marc Teboulle	2
+	Learning for DC-OPF: Classifying active sets using neural nets.	2019	Deepjyoti Deka Sidhant Misra	2
+	Fast computation of the Nth root	1989	S.-G. Chen Peter Y. Hsieh	2
+	Universal Approximation with Deep Narrow Networks	2019	Patrick Kidger Terry Lyons	2
+ PDF Chat	Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods	2020	Ferdinando Fioretto Terrence W. K. Mak Pascal Van Hentenryck	2
+	Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks	2019	Liang Zhang Gang Wang Georgios B. Giannakis	2
+ PDF Chat	DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow	2020	Xiang Pan Tianyu Zhao Minghua Chen Shengyu Zhang	2
+	Approximating Continuous Functions by ReLU Nets of Minimal Width	2017	Boris Hanin Mark Sellke	2
+	On the Number of Linear Regions of Deep Neural Networks	2014	Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Competition and Efficiency of Coalitions in Cournot Games With Uncertainty	2018	Baosen Zhang Ramesh Johari Ram Rajagopal	1
+	DC3: A learning method for optimization with hard constraints	2021	Priya L. Donti David Rolnick J. Zico Kolter	1
+ PDF Chat	Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation	2020	Wenqian Dong Zhen Xie Gökçen Kestor Dong Li	1
+ PDF Chat	Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks	2022	Manish K. Singh Vassilis Kekatos Georgios B. Giannakis	1
+	Data-Driven Screening of Network Constraints	2019	Salvador Pineda Juan M. Morales Asunción Jiménez-Cordero	1
+ PDF Chat	DeepOPF-V: Solving AC-OPF Problems Efficiently	2021	Wanjun Huang Xiang Pan Minghua Chen Steven H. Low	1
+ PDF Chat	Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach	2022	Ling Zhang Baosen Zhang	1
+	Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow.	2020	Ilgiz Murzakhanov Andreas Venzke George S. Misyris Spyros Chatzivasileiadis	1
+	A Convex Neural Network Solver for DCOPF With Generalization Guarantees	2021	Ling Zhang Yize Chen Baosen Zhang	1
+	Learning to Solve the AC-OPF Using Sensitivity-Informed Deep Neural Networks	2021	Manish K. Singh Vassilis Kekatos Georgios B. Giannakis	1
+	Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems	2021	Tianyu Zhao Xiang Pan Minghua Chen Steven H. Low	1
+	Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets	2018	Sidhant Misra Line Roald Yeesian Ng	1