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ORCIDXiangyu Zhang 0010
Person information
- affiliation: U. S. National Renewable Energy Laboratory, Computational Science Center, CO, USA
- affiliation (PhD 2018): Virginia Tech, Department of Electrical and Computer Engineering, Arlington, VA, USA
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Xiangyu Zhang — disambiguation page
- Xiangyu Zhang 0001
![[0000-0002-9544-2500]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9544-2500")
— Purdue University, West Lafayette, IN, USA (and 1 more) - Xiangyu Zhang 0002 — ShanghaiTech University, School of Information Science and Technology, China (and 1 more)
- Xiangyu Zhang 0003 — Shenyang Pharmaceutical University, MoE Key Laboratory of Structure-Based Drug Design and Discovery, China
- Xiangyu Zhang 0004 — Tsinghua University, Department of Electrical Engineering, Beijing, China
- Xiangyu Zhang 0005 — Megvii Inc., Beijing, China (and 2 more)
- Xiangyu Zhang 0007 — Navy Aeronautical University, Yantai, China
- Xiangyu Zhang 0008 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Xiangyu Zhang 0009 — Northwestern Polytechnical University, China
- Xiangyu Zhang 0011 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- Xiangyu Zhang 0012 — Cornell University, Department of Operations Research and Information Engineering, Ithaca, NY, USA
- Xiangyu Zhang 0013 — Southeast University, Frontiers Science Center for Mobile Information Communication and Security, School of Information Science and Engineering, Nanjing, China
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2020 – today
- 2024
[j7]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. 133: 108498 (2024)- 2023
- [j6]Runing Yang, Ruoxi Jia, Xiangyu Zhang, Ming Jin:
Certifiably Robust Neural ODE With Learning-Based Barrier Function. IEEE Control. Syst. Lett. 7: 1634-1639 (2023) - [c11]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CDC 2023: 2372-2378 - [i8]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CoRR abs/2307.08794 (2023) - 2022
- [j5]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6: 1-6 (2022) - [j4]Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni:
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid 13(3): 1976-1987 (2022) - [c10]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: a framework for multi-agent reinforcement learning in power systems. e-Energy 2022: 565-570 - [i7]Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven, Weijia Liu, Matthew Reynolds, Wesley B. Jones:
Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration. CoRR abs/2203.04166 (2022) - [i6]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR abs/2210.10203 (2022) - 2021
- [j3]Xiangyu Zhang, Dave Biagioni, Mengmeng Cai, Peter A. Graf, Saifur Rahman:
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. IEEE Trans. Smart Grid 12(1): 420-431 (2021) - [c9]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC 2021: 576-581 - [c8]Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin:
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. ACC 2021: 4155-4162 - [c7]Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Edison Tripp, David Biagioni:
A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. ITSC 2021: 3813-3820 - [i5]David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley B. Jones:
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. CoRR abs/2111.04689 (2021) - [i4]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. CoRR abs/2111.05969 (2021) - 2020
- [j2]Xiangyu Zhang, Manisa Pipattanasomporn, Tao Chen, Saifur Rahman:
An IoT-Based Thermal Model Learning Framework for Smart Buildings. IEEE Internet Things J. 7(1): 518-527 (2020) - [j1]Hanchen Xu, Yuzhang Lin, Xiangyu Zhang, Fei Wang:
Power System Parameter Attack for Financial Profits in Electricity Markets. IEEE Trans. Smart Grid 11(4): 3438-3446 (2020) - [c6]Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King:
Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. ISGT 2020: 1-5 - [c5]Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven, Wesley B. Jones:
Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning. SmartGridComm 2020: 1-6 - [i3]Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin:
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. CoRR abs/2010.06718 (2020)
2010 – 2019
- 2019
- [i2]Hanchen Xu, Xiao Li, Xiangyu Zhang, Junbo Zhang:
Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning. CoRR abs/1904.12232 (2019) - [i1]Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King:
Learning-Accelerated ADMM for Distributed Optimal Power Flow. CoRR abs/1911.03019 (2019) - 2018
- [c4]Xiangyu Zhang, Mengmeng Cai, Manisa Pipattanasomporn, Saifur Rahman:
A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units. ISC2 2018: 1-6 - 2017
- [c3]Rajendra Adhikari, Xiangyu Zhang, Manisa Pipattanasomporn, Murat Kuzlu, Saifur Rahman:
A data-driven approach for quantifying energy savings in a smart building. ISGT 2017: 1-5 - 2016
- [c2]Xiangyu Zhang, Manisa Pipattanasomporn, Murat Kuzlu, Saifur Rahman Bradley:
Conceptual framework for a multi-building peak load management system. ISGT Europe 2016: 1-5 - [c1]Xiangyu Zhang, Rajendra Adhikari, Manisa Pipattanasomporn, Murat Kuzlu, Saifur Rahman:
Deploying IoT devices to make buildings smart: Performance evaluation and deployment experience. WF-IoT 2016: 530-535
Coauthor Index
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