Qun Zhou

According to our database, Qun Zhou authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Current Practices in BAS Security Management.

Xinwen Fu, Ziyue Vivian Tang, Annabelle Cheng, Qun Zhou Sun

Proceedings of the International Conference on Computing, Networking and Communications, 2026

2024

Imperceptible Attacks on Fault Detection and Diagnosis Systems in Smart Buildings.

Ismail R. Alkhouri, Akram S. Awad, Qun Zhou Sun, George K. Atia

IEEE Trans. Ind. Informatics, February, 2024

On building automation system security.

Christopher Morales-Gonzalez, Matthew Harper, Michael Cash, Lan Luo, Zhen Ling, Qun Zhou Sun, Xinwen Fu

High Confid. Comput., 2024

On Building Automation Systems and Attacks.

Christopher Morales-Gonzalez, Matthew Harper, Michael Cash, Qun Zhou Sun, Xinwen Fu

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Collapse Like A House of Cards: Hacking Building Automation System Through Fuzzing.

Yue Zhang, Zhen Ling, Michael Cash, Qiguang Zhang, Christopher Morales-Gonzalez, Qun Zhou Sun, Xinwen Fu

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

A Stochastic Controller for Primary Frequency Regulation Using ON/OFF Demand Side Resources.

Guanyu Tian, Qun Zhou Sun

IEEE Trans. Smart Grid, September, 2023

Sensor Attacks and Resilient Defense on HVAC Systems for Energy Market Signal Tracking.

Guanyu Tian, Qun Zhou Sun, Yiyuan Qiao

CoRR, 2023

On False Data Injection Attack against Building Automation Systems.

Michael Cash, Christopher Morales-Gonzalez, Shan Wang, Xipeng Jin, Alex Parlato, Jason Zhu, Qun Zhou Sun, Xinwen Fu

Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022

A Bayesian Approach to Probabilistic Solar Irradiance Forecasting.

Kwasi Opoku, Svetlana Lucemo, Qun Zhou Sun, Aleksandar D. Dimitrovski

CoRR, 2022

On False Data Injection Attack against Building Automation Systems.

Michael Cash, Christopher Morales, Shan Wang, Xipeng Jin, Alex Parlato, Qun Zhou Sun, Xinwen Fu

CoRR, 2022

Solar Power Smoothing in a Nanogrid Testbed.

Hossein Panamtash, Rubin York, Paul Brooker, Justin Kramer, Qun Zhou Sun

CoRR, 2022

Chance Constrained Distributionally Robust Optimal HVAC Scheduling for Commercial Building Demand Response.

Guanyu Tian, Qun Zhou Sun

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

2021

HVAC Scheduling under Data Uncertainties: A Distributionally Robust Approach.

Guanyu Tian, Qun Zhou, Samy Faddel, Wenyi Wang

CoRR, 2021

On Automating BACnet Device Discovery and Property Identification.

Michael Cash, Shan Wang, Bryan Pearson, Qun Zhou, Xinwen Fu

Proceedings of the ICC 2021, 2021

Privacy-Based Coordination of Commercial Buildings in Distribution Systems.

Samy Faddel, Guanyu Tian, Qun Zhou

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020

A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems.

Guanyu Tian, Qun Zhou, Rahul Birari, Junjian Qi, Zhihua Qu

IEEE Trans. Neural Networks Learn. Syst., 2020

Peer-to-Peer Energy Trading and Grid Impact Studies in Smart Communities.

Eric Elliott, Nicholas Shanklin, Sharare Zehtabian, Qun Zhou, Damla Turgut

Proceedings of the International Conference on Computing, Networking and Communications, 2020

On the Performance of Data-Driven Reinforcement Learning for Commercial HVAC Control.

Samy Faddel, Guanyu Tian, Qun Zhou, Haneen Aburub

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

2019

Incorporating Wind Energy in Power System Restoration Planning.

Amir Golshani, Wei Sun, Qun Zhou, Qipeng P. Zheng, Yunhe Hou

IEEE Trans. Smart Grid, 2019

2017

Two-Stage Adaptive Restoration Decision Support System for a Self-Healing Power Grid.

Amir Golshani, Wei Sun, Qun Zhou, Qipeng P. Zheng, Jianzhong Tong

IEEE Trans. Ind. Informatics, 2017

A Multi-Institutional Approach to Delivering Shared Curricula for Developing a Next-Generation Energy Workforce.

Lawrence E. Holloway, Zhihua Qu, Margaret J. Mohr-Schroeder, Juan Carlos Balda, Andrea Benigni, Donald G. Colliver, Paul A. Dolloff, Roger A. Dougal, M. Omar Faruque, Zongming Fei, Yuan Liao, Roy A. McCann, R. Mark Nelms, Vijay P. Singh, Azadeh Vosoughi, Qun Zhou

IEEE Access, 2017