475 citations · 477 across the 5 of their papers we have counts for
5 papers
Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning
Liang Yu, Shuqi Qin, Zhanbo Xu +3
Since hydrogen has many advantages (e.g., free pollution, extensive sources, convenient storage and transportation), hydrogen-based multi-energy systems (HMESs) have received wide…
Deep Reinforcement Learning for Smart Grid Protection Against Coordinated Multistage Transmission Line Attacks
Liang Yu, Zhen Gao, Shuqi Qin +4
With the increase of connectivity in power grid, a cascading failure may be triggered by the failure of a transmission line, which can lead to substantial economic losses and serio…
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu, Shuqi Qin, Meng Zhang +3
Global buildings account for about 30% of the total energy consumption and carbon emission, raising severe energy and environmental concerns. Therefore, it is significant and urgen…
Differentially Private Linear Regression over Fully Decentralized Datasets
Yang Liu, Xiong Zhang, Shuqi Qin +1
This paper presents a differentially private algorithm for linear regression learning in a decentralized fashion. Under this algorithm, privacy budget is theoretically derived, in…
Distributed Privacy Preserving Iterative Summation Protocols
Yang Liu, Qingchen Liu, Xiong Zhang +2
In this paper, we study the problem of summation evaluation of secrets. The secrets are distributed over a network of nodes that form a ring graph. Privacy-preserving iterative pro…