The smart grid is arguably one of the most complex cyber‐physical systems (CPS). Complex
security challenges have been revealed in both the physical and the cyber parts of the smart …

Smart grids (SGs) deployments have made power systems operation more efficient by the
application of distributed computing schemes in grids' interoperation. However, these …

Cyber-physical systems are integrations of computation, networking, and physical
processes. Due to the tight cyber-physical coupling and to the potentially disrupting …

Machine learning has become an important component for many systems and applications
including computer vision, spam filtering, malware and network intrusion detection, among …

The underlying theme of this paper is to explore the various facets of power systems data
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …

With the significant improvement in deployment of Internet of Things (IoT) into the smart grid
infrastructure, the demand for cyber security is rapidly growing. The Energy Internet (EI) also …

In this paper we revisit the problem of False Data Injection (FDI) attacks to electric power
systems synchrophasors measurements through the lens of graph signal processing (GSP) …

Noncooperative game-theoretic methods have been widely utilized in system-level
engineering applications as they are capable of aggregating interests, information, and …

Random attacks that jointly minimize the amount of information acquired by the operator
about the state of the grid and the probability of attack detection are presented. The attacks …

Given the significant concerns regarding carbon emissions from fossil fuels, global warming
and energy crisis, renewable distributed energy resources (DERs) are going to be …