Abnormal behavior analysis of distribution automation system terminal
Abstract In distribution automation systems, detecting terminal abnormal behaviors is crucial for stability and reliability. Traditional methods struggle with insufficient feature extraction and
View more
Distribution Network Anomaly Detection Based on Graph Contrastive
As smart grid development advances, anomaly detection and verification of distribution network topology have become crucial for ensuring reliable power supply.
View more
An Anomaly Detection Ensemble for Protection Systems in Distribution
This validates the theory that the proposed model has a high level of anomaly detection in practical applications, can assist in the automatic identification of and response to power...
View more
Anomaly detection in distributed systems based on Spatio-Temporal
Motivated by these issues, we propose a distributed system anomaly detection theory based on spatio-temporal causal inference, embodied in our Integrated Causal Anomaly Detection
View more
An Anomaly Detection Ensemble for Protection Systems in Distribution
Validation of the ensemble''s effectiveness is attained through a case study that is grounded on actual operation data from a specific region''s distribution network protection system.
View more
Intelligent Detection and Processing Technology of Abnormal Data in
Anomaly detection in distribution networks is crucial for ensuring the stable operation of power systems. To improve the accuracy and efficiency of anomaly identification, we designed a distribution network
View more
Anomaly Detection and Location in Distribution Network: A Data
In this paper, based on the RMT, we propose a fully data-driven approach to realize anomaly detection and location in distribution network. It merges anomaly detection and location functionalities by using
View more
Early anomaly detection and localisation in distribution network: a
The early anomaly detection and localisation approach is driven by the measurement data from the SCADA system in a distribution network. It is sensitive to the variation of the data
View more
Comparative Analysis of ML Techniques for Data-Driven Anomaly
Review and categorizing conventional ML techniques commonly used in the literature for the purpose of anomaly detection, classification and localization (AD-C-L) in the distribution network.
View more
Research on abnormal data detection in distribution networks using a
To address the challenge of anomaly detection in distribution network data, this paper proposes a detection method based on a parallel network architecture integrating GraphSAGE and CNN-GRU.
View moreLaser Diodes & VCSEL
High-power CW/pulsed laser diodes (808nm–1550nm) and VCSEL arrays for 3D sensing, LIDAR, and optical interconnects.
Silicon Photonics & CPO
Co-packaged optics engines, silicon photonics ICs, and optical I/O solutions for high-density switches and AI clusters.
Optical Transceivers & AOCs
400G/800G QSFP-DD/OSFP modules, active optical cables, and custom optical engines for data center interconnects.
Laser Drivers & CDR
Low-jitter laser drivers, integrated CDR circuits, and linear TIAs for coherent optics and short-reach links.