Adaptive hoeffding tree with transfer learning for streaming synchrophasor data sets
Z El Mrabet, DF Selvaraj… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Synchrophasor technology or phasor measurement units (PMUs) are known to detect
multiple type of oscillations or faults better than Supervisory Control and Data Acquisition …
multiple type of oscillations or faults better than Supervisory Control and Data Acquisition …
Energy-efficient analysis of synchrophasor data using the nvidia jetson nano
SJ Matthews, AS Leger - 2020 IEEE High Performance Extreme …, 2020 - ieeexplore.ieee.org
Smart Grid Technology is an important part of increasing resilience and reliability of power
grids. Applying Phasor Measurement Units (PMUs) to obtain synchronized phasor …
grids. Applying Phasor Measurement Units (PMUs) to obtain synchronized phasor …
Anomaly detection, localization and classification using drifting synchrophasor data streams
With ongoing automation and digitization of the electric power system, several Phasor
Measurement Units (PMUs) have been deployed for monitoring and control. PMU data can …
Measurement Units (PMUs) have been deployed for monitoring and control. PMU data can …
A review of machine learning approaches in synchrophasor technology
MD Lal, R Varadarajan - IEEE Access, 2023 - ieeexplore.ieee.org
As power systems (PS) move toward smart grids and microgrids in modern times, complexity
eventually rises as a result of integration with various distributed energy resources, demand …
eventually rises as a result of integration with various distributed energy resources, demand …
Event block identification and analysis for effective anomaly detection to build reliable HPC systems
System logs provide invaluable resources for understanding system behavior and detecting
anomalies on high performance computing (HPC) systems. As HPC systems continue to …
anomalies on high performance computing (HPC) systems. As HPC systems continue to …
Los: Local-optimistic scheduling of periodic model training for anomaly detection on sensor data streams in meshed edge networks
Anomaly detection is increasingly important to handle the amount of sensor data in Edge
and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the …
and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the …
Ensemble-based algorithm for synchrophasor data anomaly detection
-With the advent of phasor measurement units (PMUs), high resolution synchronized phasor
measurements enables real time system monitoring and control. PMUs transmit data to local …
measurements enables real time system monitoring and control. PMUs transmit data to local …
Cost-effective bad synchrophasor data detection based on unsupervised time-series data analytic
L Zhu, DJ Hill - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In modern smart grids deployed with various advanced sensors, eg, phasor measurement
units (PMUs), bad (anomalous) measurements are always inevitable in practice …
units (PMUs), bad (anomalous) measurements are always inevitable in practice …
Anomaly detection over streaming data: Indy500 case study
Sports racing is attracting billions of audiences each year. It is powered and transformed by
the latest data analysis technologies, from race car design, driving skill improvements to …
the latest data analysis technologies, from race car design, driving skill improvements to …
Time-synchronized measurements and applications for monitoring of intelligent electric power systems
G Lee, SH Kim, YJ Shin - … Conference on Big Data and Smart …, 2018 - ieeexplore.ieee.org
For the future smart grid, time-synchronized measurements such as synchrophasor and
advanced metering infrastructure (AMI) have been introduced into the existing power grid …
advanced metering infrastructure (AMI) have been introduced into the existing power grid …