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 21 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Certifiably Robust Neural ODE With Learning-Based Barrier Function.
IEEE Control. Syst. Lett., 2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.
IEEE Trans. Smart Grid, 2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.
CoRR, 2022

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration.
CoRR, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.
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.
IEEE Trans. Smart Grid, 2021

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters.
CoRR, 2021

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.
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.
Proceedings of the 2021 American Control Conference, 2021

2020
Power System Parameter Attack for Financial Profits in Electricity Markets.
IEEE Trans. Smart Grid, 2020

An IoT-Based Thermal Model Learning Framework for Smart Buildings.
IEEE Internet Things J., 2020

Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Learning-Accelerated ADMM for Distributed Optimal Power Flow.
CoRR, 2019

Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning.
CoRR, 2019

2018
A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units.
Proceedings of the IEEE International Smart Cities Conference, 2018

2017
A data-driven approach for quantifying energy savings in a smart building.
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.
Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

Conceptual framework for a multi-building peak load management system.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016


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