Xiangyu Zhang - RankMe

31 papers C 2Journal 19Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Designing Future Energy Systems With Generative AI. Comput. Sci. Eng. Andrew Glaws, Ryan N. King, Patrick Emami, Grant Buster, Brandon N. Benton, Xiangyu Zhang, Ahmed S. Zamzam, Venkatesh Venkataramanan, Richard Macwan
2025	J	`jnl`	Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. IEEE Access Abhijeet Sahu, Truc D. T. Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly
2024	J	`jnl`	Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
2024	J	`jnl`	Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. CoRR Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly
2024	J	`jnl`	Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning. CoRR Romesh Prasad, Malik Hassanaly, Xiangyu Zhang, Abhijeet Sahu
2024	—	`conf`	Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration. SmartGridComm Zain ul Abdeen, Xiangyu Zhang, Waris Gill, Ming Jin
2023	J	`jnl`	Certifiably Robust Neural ODE With Learning-Based Barrier Function. IEEE Control. Syst. Lett. Runing Yang, Ruoxi Jia, Xiangyu Zhang, Ming Jin
2023	—	`conf`	Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CDC Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023	J	`jnl`	Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CoRR Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2022	J	`jnl`	Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration. CoRR Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven, Weijia Liu, Matthew Reynolds, Wesley Jones
2022	J	`jnl`	From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
2022	J	`jnl`	Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
2022	—	`conf`	PowerGridworld: a framework for multi-agent reinforcement learning in power systems. e-Energy David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
2022	J	`jnl`	Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni
2021	J	`jnl`	A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. CoRR David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley Jones
2021	—	`conf`	A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. ITSC Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Edison Tripp, David Biagioni
2021	J	`jnl`	An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. IEEE Trans. Smart Grid Xiangyu Zhang, Dave Biagioni, Mengmeng Cai, Peter A. Graf, Saifur Rahman
2021	C	`conf`	Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. ACC Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin
2021	C	`conf`	Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
2021	J	`jnl`	PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. CoRR David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
2020	J	`jnl`	An IoT-Based Thermal Model Learning Framework for Smart Buildings. IEEE Internet Things J. Xiangyu Zhang, Manisa Pipattanasomporn, Tao Chen, Saifur Rahman
2020	—	`conf`	Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. ISGT Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King
2020	J	`jnl`	Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. CoRR Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin
2020	J	`jnl`	Power System Parameter Attack for Financial Profits in Electricity Markets. IEEE Trans. Smart Grid Hanchen Xu, Yuzhang Lin, Xiangyu Zhang, Fei Wang
2020	—	`conf`	Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning. SmartGridComm Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven, Wesley Jones
2019	J	`jnl`	Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning. CoRR Hanchen Xu, Xiao Li, Xiangyu Zhang, Junbo Zhang
2019	J	`jnl`	Learning-Accelerated ADMM for Distributed Optimal Power Flow. CoRR Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King
2018	—	`conf`	A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units. ISC2 Xiangyu Zhang, Mengmeng Cai, Manisa Pipattanasomporn, Saifur Rahman
2017	—	`conf`	A data-driven approach for quantifying energy savings in a smart building. ISGT Rajendra Adhikari, Xiangyu Zhang, Manisa Pipattanasomporn, Murat Kuzlu, Saifur Rahman
2016	—	`conf`	Conceptual framework for a multi-building peak load management system. ISGT Europe Xiangyu Zhang, Manisa Pipattanasomporn, Murat Kuzlu, Saifur Rahman Bradley
2016	—	`conf`	Deploying IoT devices to make buildings smart: Performance evaluation and deployment experience. WF-IoT Xiangyu Zhang, Rajendra Adhikari, Manisa Pipattanasomporn, Murat Kuzlu, Saifur Rahman