An Open-Source Library of Phasor Measurement Unit Data Capturing Real Bulk Power Systems Behavior
This paper describes an open-source library of transmission-level synchrophasor
measurements, curated with the aim of accelerating data-driven research and development …
measurements, curated with the aim of accelerating data-driven research and development …
Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis
Various types of oscillations could occur in the power grid from time to time. Most of them are
harmless, while some could significantly impact the reliable power system operations. With …
harmless, while some could significantly impact the reliable power system operations. With …
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System
The methods for power system event detection using field-recorded data from Phasor
Measurement Units (PMUs) often require many labeled events, which can be costly or …
Measurement Units (PMUs) often require many labeled events, which can be costly or …
Advanced Transfer Learning in Domains With Low-Quality Temporal Data and Scarce Labels
AA Hai - 2024 - search.proquest.com
Numerous of high-impact applications involve predictive modeling of real-world data. This
spans from hospital readmission prediction for enhanced patient care up to event detection …
spans from hospital readmission prediction for enhanced patient care up to event detection …
Use of Machine Learning on PMU Data for Transmission System Fault Analysis
M Kezunovic, Z Obradovic, Y Hu - 2022 - osti.gov
Synchrophasor technology has been used for monitoring, control, and protection of bulk
power system for over 10 years. Deployment of phasor measurement units (PMUs) in the …
power system for over 10 years. Deployment of phasor measurement units (PMUs) in the …
ADVANCED TRANSFER LEARNING IN DOMAINS WITH LOW-QUALITY TEMPORAL DATA AND SCARCE LABELS
A Abdel Hai - 2023 - scholarshare.temple.edu
Numerous of high-impact applications involve predictive modeling of real-world data. This
spans from hospital readmission prediction for enhanced patient care up to event detection …
spans from hospital readmission prediction for enhanced patient care up to event detection …
[PDF][PDF] Paper number 1185 Paper title Use of ML and AI for automated outage prediction and risk management for improved system resilience Study Committee SC B5 …
The power system operators, as well as asset and outage management personnel are now
experiencing significantly enlarged amount of data obtained through field measurements …
experiencing significantly enlarged amount of data obtained through field measurements …