We stand with Ukraine

We stand with Ukraine

Xiangyu Zhang

Orcid: 0000-0003-4857-2318

Affiliations:

U. S. National Renewable Energy Laboratory, Computational Science Center, CO, USA
Virginia Tech, Department of Electrical and Computer Engineering, Arlington, VA, USA (PhD 2018)
Tsinghua University, Beijing, China (former)

According to our database¹, Xiangyu Zhang authored at least 26 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2025

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method.

[BibT_eX]

[DOI]

,

Truc D. T. Nguyen

,

,

,

Malik Hassanaly

IEEE Access, 2025

2024

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches.

[BibT_eX]

[DOI]

,

,

Christiane Adcock

,

Michael N. Sinner

,

,

Eng. Appl. Artif. Intell., 2024

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method.

[BibT_eX]

[DOI]

,

,

,

,

Malik Hassanaly

CoRR, 2024

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning.

[BibT_eX]

[DOI]

,

Malik Hassanaly

,

,

CoRR, 2024

Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration.

[BibT_eX]

[DOI]

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,

,

Proceedings of the IEEE International Conference on Communications, 2024

2023

Certifiably Robust Neural ODE With Learning-Based Barrier Function.

[BibT_eX]

[DOI]

,

,

,

IEEE Control. Syst. Lett., 2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

,

,

,

Ahmed S. Zamzam

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.

[BibT_eX]

[DOI]

,

,

Andrey Bernstein

,

,

,

,

IEEE Trans. Smart Grid, 2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.

[BibT_eX]

[DOI]

,

,

,

Ahmed S. Zamzam

,

,

IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.

[BibT_eX]

[DOI]

,

,

Christiane Adcock

,

Michael N. Sinner

,

,

CoRR, 2022

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration.

[BibT_eX]

[DOI]

,

Abinet Tesfaye Eseye

,

Bernard Knueven

,

,

Matthew Reynolds

,

Wesley B. Jones

CoRR, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.

[BibT_eX]

[DOI]

,

,

,

Deepthi Vaidhynathan

,

,

,

Ahmed S. Zamzam

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning.

[BibT_eX]

[DOI]

,

,

,

,

IEEE Trans. Smart Grid, 2021

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters.

[BibT_eX]

[DOI]

David J. Biagioni

,

,

,

,

Wesley B. Jones

CoRR, 2021

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.

[BibT_eX]

[DOI]

,

,

,

Charles Edison Tripp

,

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search.

[BibT_eX]

[DOI]

,

,

Andrey Bernstein

,

,

Proceedings of the 2021 American Control Conference, 2021

2020

Power System Parameter Attack for Financial Profits in Electricity Markets.

[BibT_eX]

[DOI]

,

,

,

IEEE Trans. Smart Grid, 2020

An IoT-Based Thermal Model Learning Framework for Smart Buildings.

[BibT_eX]

[DOI]

,

Manisa Pipattanasomporn

,

,

IEEE Internet Things J., 2020

Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning.

[BibT_eX]

[DOI]

,

Abinet Tesfaye Eseye

,

Bernard Knueven

,

Wesley B. Jones

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

Learning-Accelerated ADMM for Distributed Optimal Power Flow.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2019

Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2019

2018

A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units.

[BibT_eX]

[DOI]

,

,

Manisa Pipattanasomporn

,

Proceedings of the IEEE International Smart Cities Conference, 2018

2017

A data-driven approach for quantifying energy savings in a smart building.

[BibT_eX]

[DOI]

Rajendra Adhikari

,

,

Manisa Pipattanasomporn

,

,

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

2016

Deploying IoT devices to make buildings smart: Performance evaluation and deployment experience.

[BibT_eX]

[DOI]

,

Rajendra Adhikari

,

Manisa Pipattanasomporn

,

,

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

Conceptual framework for a multi-building peak load management system.

[BibT_eX]

[DOI]

,

Manisa Pipattanasomporn

,

,

Saifur Rahman Bradley

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

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