Graph neural network and Koopman models for learning networked dynamics: A comparative study on power grid transients prediction
Continuous monitoring of the spatio-temporal dynamic behavior of critical infrastructure
networks, such as the power systems, is a challenging but important task. In particular …
networks, such as the power systems, is a challenging but important task. In particular …
Denoising and detection of bad data in distribution phasor measurements using filtering, clustering, and Koopman mode analysis
Distribution-level phasor measurement units (D-PMU) data are prone to different types of
anomalies given complex data flow and processing infrastructure in an active power …
anomalies given complex data flow and processing infrastructure in an active power …
Hybrid data-driven based HVdc ancillary control for multiple frequency data attacks
The high voltage direct current (HVdc) intertie has been applied to provide ancillary-services
for ac grids, utilizing the real-time feedback from phasor measurement units (PMUs) …
for ac grids, utilizing the real-time feedback from phasor measurement units (PMUs) …
Trends in Smart Grid Cyber-Physical Security: Components, Threats and Solutions
The increasing focus on cyber-physical security in Smart Grids (SGs) has catalyzed a surge
in research over recent years. This paper comprehensively reviews SG cyber-physical …
in research over recent years. This paper comprehensively reviews SG cyber-physical …
Data-driven stabilization of discrete-time control-affine nonlinear systems: A Koopman operator approach
In recent years data-driven analysis of dynamical systems has attracted a lot of attention and
transfer operator techniques, namely, Perron-Frobenius and Koopman operators are being …
transfer operator techniques, namely, Perron-Frobenius and Koopman operators are being …
Koopman operator-based detection-isolation of cyberattack: A case study on electric vehicle charging
One of the key challenges towards the reliable operation of cyber-physical systems (CPS) is
the threat of cyberattacks on system actuation signals and measurements. In recent years …
the threat of cyberattacks on system actuation signals and measurements. In recent years …
Online real-time learning of dynamical systems from noisy streaming data
Recent advancements in sensing and communication facilitate obtaining high-frequency
real-time data from various physical systems like power networks, climate systems …
real-time data from various physical systems like power networks, climate systems …
Denoising and bad data detection in distribution phasor measurements using filtering, clustering and koopman mode analysis
Distribution-level phasor measurement units (D-PMU) data are prone to different types of
anomalies given complex data flow and processing infrastructure in an active power …
anomalies given complex data flow and processing infrastructure in an active power …
Synchrophasor-based event detection, classification, and localization using koopman, transient energy matrix, best worth method, and dynamic graph
The integration of high-resolution data from phasor measurement units (PMUs) in the power
grid operation provides an opportunity for enhanced situational awareness and possible …
grid operation provides an opportunity for enhanced situational awareness and possible …
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches
This paper explores the detection and localization of cyber-attacks on time-series
measurements data in power systems, focusing on comparing conventional machine …
measurements data in power systems, focusing on comparing conventional machine …