A data-driven framework for power system event type identification via safe semi-supervised techniques
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 …
techniques to construct real-time event identification models for transmission networks …
Synchrophasor Forensics: Tracking Spatiotemporal Anomalies and Diagnosing Grid Frequency Events with Machine Learning for Enhanced Situational Awareness
N Gopinathan, PK Shanmugam - IEEE Access, 2024 - ieeexplore.ieee.org
The large-scale integration of microphasor measurement units (PMUs) is inevitable in smart
grids due to the enhanced demand response strategies of active distribution networks and …
grids due to the enhanced demand response strategies of active distribution networks and …
Feature Collusion Attack on PMU Data-driven Event Classification
A Ghasemkhani, RS Haridas… - 2024 IEEE Power & …, 2024 - ieeexplore.ieee.org
Event classification is a critical task to ensure the reliability of the power system. Recent
developments in event classification methods leverage data-driven techniques with fine …
developments in event classification methods leverage data-driven techniques with fine …
Data analytics for real-time event identification using real phasor measurement unit data
Y Wang - 2023 - search.proquest.com
With the rapid development of smart grids, the large-scale deployment of phasor
measurement units (PMUs) has enabled an enhanced awareness of power system …
measurement units (PMUs) has enabled an enhanced awareness of power system …
DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA
RS Haridas - 2023 - scholarworks.lib.csusb.edu
Abstract Phasor Measurement Units (PMUs) have been widely used in several regions to
improve bulk power system situational awareness. PMUs provide utilities with enhanced …
improve bulk power system situational awareness. PMUs provide utilities with enhanced …