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ORCIDTianyu Zhao 0002
Person information
- affiliation: Lenovo Machine Intelligence Center, Lenovo, Hong Kong, SAR, China
Other persons with the same name
- Tianyu Zhao — disambiguation page
- Tianyu Zhao 0001 — Sakana AI, Tokyo, Japan (and 2 more)
- Tianyu Zhao 0003
![[0009-0000-3139-4872]](https://dblp.org/img/orcid-mark.12x12.png "0009-0000-3139-4872")
— University of California, Irvine, CA, USA - Tianyu Zhao 0004 — Harbin Institute of Technology, Harbin, China
- Tianyu Zhao 0005 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Tianyu Zhao 0006 — Tsinghua University, Beijing, China
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2020 – today
- 2023
[j2]Xiang Pan, Minghua Chen, Tianyu Zhao, Steven H. Low:
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems. IEEE Syst. J. 17(1): 673-683 (2023)- [c4]Tianyu Zhao, Min Zhou, Yanfang Mo, Jason Min Wang, Jun Luo, Xiang Pan, Minghua Chen:
Optimizing Demand Response in Distribution Network with Grid Operational Constraints. e-Energy 2023: 299-313 - [c3]Tianyu Zhao, Xiang Pan, Minghua Chen, Steven H. Low:
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints. ICLR 2023 - 2022
- [j1]Tianyu Zhao, Hanling Yi, Minghua Chen, Chenye Wu, Yunjian Xu:
Efficient and Robust Equilibrium Strategies of Utilities in Day-Ahead Market With Load Uncertainty. IEEE Syst. J. 16(4): 5246-5257 (2022) - 2021
- [i6]Tianyu Zhao, Xiang Pan, Minghua Chen, Steven H. Low:
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems. CoRR abs/2112.08091 (2021) - 2020
- [c2]Tianyu Zhao, Xiang Pan, Minghua Chen, Andreas Venzke, Steven H. Low:
DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility. SmartGridComm 2020: 1-6 - [i5]Xiang Pan, Minghua Chen, Tianyu Zhao, Steven H. Low:
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems. CoRR abs/2007.01002 (2020) - [i4]Tianyu Zhao, Xiang Pan, Minghua Chen, Andreas Venzke, Steven H. Low:
DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility. CoRR abs/2009.03147 (2020)
2010 – 2019
- 2019
- [c1]Xiang Pan, Tianyu Zhao, Minghua Chen:
DeepOPF: Deep Neural Network for DC Optimal Power Flow. SmartGridComm 2019: 1-6 - [i3]Xiang Pan, Tianyu Zhao, Minghua Chen:
DeepOPF: Deep Neural Network for DC Optimal Power Flow. CoRR abs/1905.04479 (2019) - [i2]Tianyu Zhao, Hanling Yi, Minghua Chen, Chenye Wu, Yunjian Xu:
Efficient and Robust Equilibrium Strategies of Utilities in Day-ahead Market with Load Uncertainty. CoRR abs/1909.05578 (2019) - [i1]Xiang Pan, Tianyu Zhao, Minghua Chen:
DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow. CoRR abs/1910.14448 (2019)
Coauthor Index
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