In the recent years cyberattacks to smart grids are becoming more frequent Among the many
malicious activities that can be launched against smart grids False Data Injection FDI attacks …

Accurate event analysis in real time is of paramount importance for high-fidelity situational
awareness such that proper actions can take place before any isolated faults escalate to …

In the recent years, cyberattacks to smart grids are becoming more frequent. Among the
many malicious activities that can be launched against smart grids, the False Data Injection …

Real-time detection and analysis of cascading events are crucial to avoiding large blackouts
in power systems. Based on spectral distribution analysis (SDA) of online monitoring data …

This work presents a novel deep learning model for early, accurate, and robust detection,
recognition, and temporal localization of multi-type events in large-scale power systems. The …

Disturbance analysis is important to the study of the power transmission system because it
facilitates the modeling, operation and planning of the system. Traditionally, disturbances …

Multiple event detection and analysis in real time is a challenge for a modern grid as its
features are usually non-identifiable. This paper, based on high-dimensional factor models …

Die vorliegende Arbeit beschäftigt sich mit den physikalischen Phänomenen von
elektromechanischen Ausgleichsvorgängen in elektrischen Energiesystemen sowie mit der …

Cross domain recognition extracts knowledge from one domain to recognize samples from
another domain of interest. The key to solving problems under this umbrella is to find out the …

Disturbance analysis is essential to the study of the power transmission systems.
Traditionally, disturbances are described as megawatt (MW) events, but the access to data is …