The development of modern power systems is directly related to changes in the traditional
principles of management, planning, and monitoring of electrical modes. The mass …

The study examines the development and testing of algorithms for disturbance inception
time estimation in a power system using instantaneous values of current and voltage with a …

Incomplete and inaccurate information of network topology and line parameters affects state
monitoring, analysis, and control of active distribution networks. To solve this issue, this …

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 …

Electric power system operators monitor large multi-modal data streams from wide service
areas. The current data setups stand to get more complex as utilities add more smart-grid …

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

Data quality plays a crucial role in successful applications of synchrophasor data in power
system operation and control. This paper presents the results of a data quality analysis of a …

Detection of cyber attacks in smart power distribution grids with unbalanced configurations
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …

This paper describes simple and efficient machine learning (ML) methods for efficiently
detecting multiple types of power system events captured by PMUs scarcely placed in a …

This paper studies distributed learning of real-world phasor measurement unit (PMU) data to
enable privacy-preserving data sharing and analytics among different entities (ie, PMU data …