Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …

The threat of high impact low probability (HILP) events on power distribution system is
substantial but quite unpredictable. Enhancing the resilience of power distribution grids …

Identifying the anomaly location and type (fault or attack) is of paramount importance for
enhancing cyber-physical situational awareness, and taking informed and effective …

The increasing deployment of triggerless power quality monitors provides valuable data
about power systems and their components. However, efficient and accurate data mining …

This paper proposes a Multi-task Logistic Low-Ranked Dirty Model (MT-LLRDM) for fault
detection in power distribution networks by using the distribution Phasor Measurement Unit …

Power systems are prone to a variety of events (eg line trips and generation loss) and real-
time identification of such events is crucial in terms of situational awareness, reliability, and …

An increasing number of phasor measurement units (PMUs) are being installed to improve
power systems' reliability and visibility throughout the world. Due to the high sampling …

This paper presents a spatiotemporal feature learning method for cause identification of
electromagnetic transient events in power grids. The proposed method is formulated based …

Quantification and detection of patterns in electricity consumption curves, across
households, locations, and seasons, is crucial for planning and forecasting. Treating daily …

Event identification is increasingly recognized as crucial for enhancing the reliability,
security, and stability of the electric power system. With the growing deployment of Phasor …