Modern power systems characterized by complex topologies require accurate situational
awareness to maintain an adequate level of reliability. Since they are large and spread over …

This article studies robust event classification using imperfect real-world phasor
measurement unit (PMU) data. By analyzing the real-world PMU data, we find that it is …

Integration of distributed energy sources, advanced meshed operation, sensors, automation,
and communication networks all contribute to autonomous operations and decision-making …

Timely detection of power system events is a crucial task, which can facilitate the
implementation of remedial actions to improve reliability, resiliency, and security of the …

Timely and accurate detection of events affecting the stability and reliability of power
transmission systems is crucial for safe grid operation. This paper presents an efficient …

This paper studies event classification using imperfect real-world phasor measurement unit
(PMU) data with scarce event types (labels). By investigating the real-world PMU data, it is …

As the grid becomes smarter, the need to accurately detect, predict, and classify waveform
phenomena is growing. When it comes to detecting high-frequency behaviors, ie transients …

The increasing penetration of renewable energy sources (such as solar and wind) and
incoming widespread electric vehicles charging introduce new challenges in the power …

As the grid becomes smarter, the need to accurately detect, predict, and classify waveform
phenomena is growing. When it comes to detecting high-frequency behaviors, ie transients …

The power system is comprised of thousands of lines, generation sources, transformers, and
other equipment responsible for servicing millions of customers. Such a complex apparatus …