Discovering and labeling power system events in synchrophasor data with matrix profile
An increasing number of phasor measurement units (PMUs) are being installed to improve
power systems' reliability and visibility throughout the world. Due to the high sampling …
power systems' reliability and visibility throughout the world. Due to the high sampling …
Shape preserving incremental learning for power systems fault detection
This letter presents a shape preserving incremental learning algorithm that employs a novel
shape-based metric called the Fisher-Rao amplitude-phase distance (FRAPD) metric. The …
shape-based metric called the Fisher-Rao amplitude-phase distance (FRAPD) metric. The …
Comparative analysis of ml techniques for data-driven anomaly detection, classification and localization in distribution system
A Gholami, AK Srivastava - 2020 52nd North American Power …, 2021 - ieeexplore.ieee.org
High penetration of Distributed Energy Resources (DERs), fundamental load behavior
changes, controllable loads, and significant increase in Electrical Vehicles (EVs) lead to …
changes, controllable loads, and significant increase in Electrical Vehicles (EVs) lead to …
Real-time simulation and hardware-in-the-loop testbed for distribution synchrophasor applications
With the advent of Distribution Phasor Measurement Units (D-PMUs) and Micro-
Synchrophasors (Micro-PMUs), the situational awareness in power distribution systems is …
Synchrophasors (Micro-PMUs), the situational awareness in power distribution systems is …
Wide-area control of power systems: Employing data-driven, hierarchical reinforcement learning
A Chakrabortty - IEEE Electrification Magazine, 2021 - ieeexplore.ieee.org
In the foreseeable future, the north American power transmission system is expected to
evolve into the largest and most complex Internet of Things (IoT) technology, encompassing …
evolve into the largest and most complex Internet of Things (IoT) technology, encompassing …
Fault location in low voltage smart grids based on similarity criteria in the principal component subspace
This paper presents a new strategy based on multi-variate statistical analysis for fault
location and classification in power distribution networks with distributed energy resources …
location and classification in power distribution networks with distributed energy resources …
Learning power system's graph signals for cyber and physical stress classification
Situational awareness towards various types of cyber and physical stresses in power
systems is critical for the reliable operation of these critical infrastructures. Identifying the …
systems is critical for the reliable operation of these critical infrastructures. Identifying the …
Enhancing Smart Grid Security and Reliability Through Graph Signal Processing and Energy Data Analytics
MA Hasnat - 2023 - search.proquest.com
Situational awareness in a large, dynamic, and complex cyber-physical critical infrastructure,
such as a smart grid, is vital for ensuring its smooth and uninterrupted operation. With the …
such as a smart grid, is vital for ensuring its smooth and uninterrupted operation. With the …
Asynchronous high-speed feature extraction image sensor
J Huang - 2018 - dr.ntu.edu.sg
In recent years, motion detection and analysis in computer vision has drawn an increasing
attention in a wide range of applications including high-speed surveillance, traffic …
attention in a wide range of applications including high-speed surveillance, traffic …
Heterogeneous data fusion for performance improvement in electric power systems
M Gilanifar - 2019 - search.proquest.com
The performance of the electric power system determines the cost-effective and reliable
energy supply to maintain operations in a city. Electric power system performance …
energy supply to maintain operations in a city. Electric power system performance …