As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …

This paper reviews the most relevant works that have investigated robustness in power grids
using Complex Networks (CN) concepts. In this broad field there are two different …

In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

Application of computing and communications intelligence effectively improves the quality of
monitoring and control of smart grids. However, the dependence on information technology …

Energy systems are regularly subject to major disruptions affecting economic activities,
operation of infrastructure and the society as a whole. Resilience assessment comprises the …

The topological (graph) structure of complex networks often provides valuable information
about the performance and vulnerability of the network. However, there are multiple ways to …

Studies to evaluate the power system impacts of geomagnetic disturbances (GMDs) can
benefit from geographically realistic public test cases to validate methodologies and …

To encourage and support innovation, synthetic electric grids are fictional, designed systems
that mimic the complexity of actual electric grids but contain no confidential information …

The traditional power grid system was constructed in a centralized and radial topology
where power is generated and delivered from one end to the other. Conventional methods …

Electric power-systems are one of the most important critical infrastructures. In recent years,
they have been exposed to extreme stress due to the increasing demand, the introduction of …