10 citations · 13 across the 6 of their papers we have counts for
8 papers
Data-Driven Robust Control for Discrete Linear Time-Invariant Systems: A Descriptor System Approach
Jiabao He, Xuan Zhang, Feng Xu +2
Given the recent surge of interest in data-driven control, this paper proposes a two-step method to study robust data-driven control for a parameter-unknown linear time-invariant (…
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
Haizhou Liu, Xuan Zhang, Xinwei Shen +1
In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transforme…
An Integration and Operation Framework of Geothermal Heat Pumps in Distribution Networks
Lei Liang, Xuan Zhang, Hongbin Sun
The application of the energy-efficient thermal and energy management mechanism in Geothermal Heat Pumps (GHPs) is indispensable to reduce the overall energy consumption and carbon…
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning
Haizhou Liu, Xuan Zhang, Xinwei Shen +1
With the deployment of smart sensors and advancements in communication technologies, big data analytics have become vastly popular in the smart grid domain, informing stakeholders…
Community Energy Storage Management for Welfare Optimization Using a Markov Decision Process
Lirong Deng, Xuan Zhang, Tianshu Yang +2
In this paper, we address an optimal management problem of community energy storage in the real-time electricity market under a stochastic renewable environment. In a real-time ele…
Optimal Planning of Integrated Heat and Electricity Systems: a Tightening McCormick Approach
Lirong Deng, Xuan Zhang, Tianshu Yang +1
In this paper, we propose a convex planning model of integrated heat and electricity systems considering variable mass flow rates. The main challenge comes from the non-convexity o…