activity
20192022
most citedDetection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

376 citations · 377 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2022376 cited

Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

Yang Li, Xinhao Wei, Yuanzheng Li +2

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one…

math.OC20201 cited

A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow

Haizhou Liu, Lun Yang, Xinwei Shen +3

In this letter, we propose a data-driven warm start approach, empowered by artificial neural networks, to boost the efficiency of convex relaxations in optimal gas flow. Case studi…

eess.SY2020

Convex Relaxation of Combined Heat and Power Dispatch

Yibao Jiang, Can Wan, Audun Botterud +2

Combined heat and power dispatch promotes interactions and synergies between electric power systems and district heating systems. However, nonlinear and nonconvex heating flow impo…

eess.SY2020

Reconfiguration of District Heating Network for Operational Flexibility Enhancement in Power System Unit Commitment

Yixun Xue, Mohammad Shahidehpour, Zhaoguang Pan +4

Massive adoptions of combined heat and power (CHP) units necessitate the coordinated operation of power system and district heating system (DHS). Exploiting the reconfigurable prop…

eess.SY2019

Distributed Optimal Frequency Control for Integrated Energy Systems with Electricity and Heat

Xin Qin, Xuan Zhang, Xinwei Shen +3

With more and more distributed energy resources (DERs) deployed in Integrated Energy Systems (IESs), frequency stability challenges the pursuit of reliability and efficiency. This…