activity
20162023
most citedEnhancing Cyber-Resiliency of DER-based SmartGrid: A Survey

197 citations · 247 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2023★ 1 cited

Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review

Zhenyong Zhang, Mengxiang Liu, Mingyang Sun +5

Machine learning (ML) sees an increasing prevalence of being used in the internet-of-things (IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must b…

eess.SY2023★ 197 cited

Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey

Mengxiang Liu, Fei Teng, Zhenyong Zhang +5

The rapid development of information and communications technology has enabled the use of digital-controlled and software-driven distributed energy resources (DERs) to improve the…

eess.SP2021★ 13 cited

Detecting False Data Injection Attacks in Smart Grids with Modeling Errors: A Deep Transfer Learning Based Approach

Bowen Xu, Fanghong Guo, Changyun Wen +2

Most traditional false data injection attack (FDIA) detection approaches rely on a key assumption, i.e., the power system can be accurately modeled. However, the transmission line…

eess.SP2020★ 3 cited

Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications

Helin Yang, Zehui Xiong, Jun Zhao +3

With the rapid deployment of the Internet of Things (IoT), fifth-generation (5G) and beyond 5G networks are required to support massive access of a huge number of devices over limi…

eess.SY2020

False Data Injection Attacks and the Distributed Countermeasure in DC Microgrids

Mengxiang Liu, Peng Cheng, Chengcheng Zhao +3

In this paper, we consider a hierarchical control based DC microgrid (DCmG) equipped with unknown input observer (UIO) based detectors, where the potential false data injection (FD…

eess.SY2019

Analysis of Moving Target Defense Against False Data Injection Attacks on Power Grid

Zhenyong Zhang, Ruilong Deng, David K. Y. Yau +2

Recent studies have considered thwarting false data injection (FDI) attacks against state estimation in power grids by proactively perturbing branch susceptances. This approach is…

eess.SP2019★ 28 cited

A Survey of Predictive Maintenance: Systems, Purposes and Approaches

Tianwen Zhu, Yongyi Ran, Xin Zhou +1

This paper highlights the importance of maintenance techniques in the coming industrial revolution, reviews the evolution of maintenance techniques, and presents a comprehensive li…

math.OC2016★ 5 cited

Scheduling of EV Battery Swapping, II: Distributed Solutions

Pengcheng You, Steven H. Low, Liang Zhang +4

In Part I of this paper we formulate an optimal scheduling problem for battery swapping that assigns to each electric vehicle (EV) a best station to swap its depleted battery based…