Xiangyu Zhang (张翔昱)
Title
Cited by
Cited by
Year
Deploying IoT devices to make buildings smart: Performance evaluation and deployment experience
X Zhang, R Adhikari, M Pipattanasomporn, M Kuzlu, S Rahman
Internet of Things (WF-IoT), 2016 IEEE 3rd World Forum on, 530-535, 2016
342016
Power system parameter attack for financial profits in electricity markets
H Xu, Y Lin, X Zhang, F Wang
IEEE Transactions on Smart Grid 11 (4), 3438-3446, 2020
282020
Identification of key transmission lines in power grid using modified k-core decomposition
X Zhang, F Liu, R Yao, X Zhang, S Mei, Z Zhang, X Li
Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International …, 2013
282013
An IoT-based Thermal Model Learning Framework for Smart Buildings
X Zhang, M Pipattanasomporn, T Chen, S Rahman
IEEE Internet of Things Journal, 2019
272019
A self-learning algorithm for coordinated control of rooftop units in small-and medium-sized commercial buildings
X Zhang, M Pipattanasomporn, S Rahman
Applied Energy 205, 1034-1049, 2017
212017
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning
X Zhang, D Biagioni, M Cai, P Graf, S Rahman
IEEE Transactions on Smart Grid, 2020
92020
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow
D Biagioni, P Graf, X Zhang, AS Zamzam, K Baker, J King
IEEE Control Systems Letters, 2020
72020
Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
H Xu, X Li, X Zhang, J Zhang
arXiv preprint arXiv:1904.12232, 2019
72019
A power disaggregation approach to identify power-temperature models of HVAC units
X Zhang, M Cai, M Pipattanasomporn, S Rahman
2018 IEEE International Smart Cities Conference (ISC2), 1-6, 2018
52018
Conceptual framework for a multi-building peak load management system
X Zhang, M Pipattanasomporn, M Kuzlu, S Rahman
PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016 …, 2016
52016
A Data-driven Approach for Coordinating Air Conditioning Units in Buildings during Demand Response Events
X Zhang
Virginia Tech, 2019
42019
A data-driven approach for quantifying energy savings in a smart building
R Adhikari, X Zhang, M Pipattanasomporn, M Kuzlu, S Rahman
2017 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2017
32017
Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM
X Zhang, D Biagioni, P Graf, J King
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020
22020
Enhancing Distribution Grid Resilience Through Model Predictive Controller Enabled Prioritized Load Restoration Strategy
AT Eseye, X Zhang, B Knueven, W Jones
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021
12021
Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning
X Zhang, AT Eseye, B Knueven, W Jones
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
12020
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
X Zhang, R Chintala, A Bernstein, P Graf, X Jin
arXiv preprint arXiv:2010.06718, 2020
12020
A Comprehensive Analysis of Renewable Energy Representations in Power System Generation Expansion Planning
X Zhang, M Pippatanasomporn, S Rahman
2018 International Conference and Utility Exhibition on Green Energy for …, 2018
12018
适用于连锁故障的交直流电网静态等值方法
张振安, 张雪敏, 曲昊源, 李晓萌, 姚锐;张翔昱;
电工电能新技术 33 (3), 1-6, 2014
12014
Resilient Operation of Power Distribution Systems Using MPC-Based Critical Service Restoration
AT Eseye, B Knueven, X Zhang, M Reynolds, W Jones
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021
2021
Restoring Critical Loads in Resilient Distribution Systems Using a Curriculum Learned Controller
X Zhang, AT Eseye, M Reynolds, B Knueven, W Jones
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021
2021
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Articles 1–20