Identifying statistical trends for a wide range of practical power system applications,
including sustainable energy forecasting, demand response, energy decomposition, and …

In the first part of this paper, a comprehensive analysis has been conducted on the utilization
of Synchrophasor Measurement (SM) and distribution SM in enhancing situation awareness …

Online transient analysis plays an increasingly important role in dynamic power grids as the
renewable generation continues growing. Traditional numerical methods for transient …

Phasor measurement units (PMUs) are time-synchronized measurement devices that have
been proliferated in transmission networks during the last two decades. Recently, there have …

This article proposes the use of the Short-Time Matrix Pencil method (STMPM) and Graph
Neural Network (GNN) for fault location in active distribution feeders based on an emerging …

The increasing uncertainty of distributed energy resources promotes the risks of transient
events for power systems. To capture event dynamics, Phasor Measurement Unit (PMU) …

For transmission systems to operate safely and reliably, fault identification and classification
are essential. However, power network physical architecture and data information cannot be …

This paper develops a forecasting-based missing value replacement model for Phasor
Measurement Unit (PMU) data during power system events. The proposed forecasting …

This paper investigates the use of phasor measurement unit (PMU) data with deep learning
techniques to construct real-time event identification models for transmission networks …

This paper is concerned with the complex task of identifying the type and cause of the events
that are captured by distribution-level phasor measurement units (D-PMUs) in order to …