Conceptual framework for a multi-building peak load management system. - Xiangyu Zhang 010; Manisa Pipattanasomporn; Murat Kuzlu; Saifur Rahman Bradley (ISGT Europe, 2016)

Deploying IoT devices to make buildings smart: Performance evaluation and deployment experience. - Xiangyu Zhang 010; Rajendra Adhikari; Manisa Pipattanasomporn; Murat Kuzlu; Saifur Rahman 001 (WF-IoT, 2016)

A data-driven approach for quantifying energy savings in a smart building. - Rajendra Adhikari; Xiangyu Zhang 010; Manisa Pipattanasomporn; Murat Kuzlu; Saifur Rahman 001 (ISGT, 2017)

A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units. - Xiangyu Zhang 010; Mengmeng Cai; Manisa Pipattanasomporn; Saifur Rahman 001 (ISC2, 2018)

Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning. - Hanchen Xu; Xiao Li; Xiangyu Zhang 010; Junbo Zhang (CoRR, 2019)

Learning-Accelerated ADMM for Distributed Optimal Power Flow. - Dave Biagioni; Peter A. Graf; Xiangyu Zhang 010; Jennifer King (CoRR, 2019)

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. - Xiangyu Zhang 010; Dave Biagioni; Peter A. Graf; Jennifer King (ISGT, 2020)

Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Wesley B. Jones (SmartGridComm, 2020)

An IoT-Based Thermal Model Learning Framework for Smart Buildings. - Xiangyu Zhang 010; Manisa Pipattanasomporn; Tao Chen 016; Saifur Rahman 001 (IEEE Internet Things J., 2020)

Power System Parameter Attack for Financial Profits in Electricity Markets. - Hanchen Xu; Yuzhang Lin; Xiangyu Zhang 010; Fei Wang 020 (IEEE Trans. Smart Grid, 2020)

Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. - Xiangyu Zhang 010; Rohit Chintala; Andrey Bernstein; Peter A. Graf; Xin Jin 016 (ACC, 2021)

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. - Yi Hou; Xiangyu Zhang 010; Peter A. Graf; Charles Edison Tripp; David Biagioni (ITSC, 2021)

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. - David J. Biagioni; Xiangyu Zhang 010; Peter A. Graf; Devon Sigler; Wesley B. Jones (CoRR, 2021)

An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. - Xiangyu Zhang 010; Dave Biagioni; Mengmeng Cai; Peter A. Graf; Saifur Rahman 001 (IEEE Trans. Smart Grid, 2021)

PowerGridworld: a framework for multi-agent reinforcement learning in power systems. - David Biagioni; Xiangyu Zhang 010; Dylan Wald; Deepthi Vaidhynathan; Rohit Chintala; Jennifer King; Ahmed S. Zamzam (e-Energy, 2022)

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Weijia Liu; Matthew Reynolds; Wesley B. Jones (CoRR, 2022)

From Model-Based to Model-Free: Learning Building Control for Demand Response. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (CoRR, 2022)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. - David Biagioni; Peter A. Graf; Xiangyu Zhang 010; Ahmed S. Zamzam; Kyri Baker; Jennifer King (IEEE Control. Syst. Lett., 2022)

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. - Xiangyu Zhang 010; Yue Chen; Andrey Bernstein; Rohit Chintala; Peter A. Graf; Xin Jin 016; David Biagioni (IEEE Trans. Smart Grid, 2022)

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. - Patrick Emami; Xiangyu Zhang 010; David Biagioni; Ahmed S. Zamzam (CDC, 2023)

Certifiably Robust Neural ODE With Learning-Based Barrier Function. - Runing Yang; Ruoxi Jia 001; Xiangyu Zhang 010; Ming Jin 002 (IEEE Control. Syst. Lett., 2023)

Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration. - Zain ul Abdeen; Xiangyu Zhang 010; Waris Gill; Ming Jin 002 (SmartGridComm, 2024)

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning. - Romesh Prasad; Malik Hassanaly; Xiangyu Zhang 010; Abhijeet Sahu (CoRR, 2024)

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. - Abhijeet Sahu; Truc Nguyen; Kejun Chen; Xiangyu Zhang 010; Malik Hassanaly (CoRR, 2024)

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (Eng. Appl. Artif. Intell., 2024)

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. - Abhijeet Sahu; Truc D. T. Nguyen; Kejun Chen; Xiangyu Zhang 010; Malik Hassanaly (IEEE Access, 2025)