[HTML][HTML] A review of Power System False data attack Detection Technology based on Big data
Z Chang, J Wu, H Liang, Y Wang, Y Wang, X Xiong - Information, 2024 - mdpi.com
As power big data plays an increasingly important role in the operation, maintenance, and
management of power systems, complex and covert false data attacks pose a serious threat …
management of power systems, complex and covert false data attacks pose a serious threat …
Machine Learning-Based Multiclass Anomaly Detection and Classification in Hybrid Active Distribution Networks
Anomaly detection in power systems is crucial for operational reliability and safety, often
addressed through binary classification in existing research. However, a research gap exists …
addressed through binary classification in existing research. However, a research gap exists …
Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault Classification and Localization in Power Systems
Power system interruptions, though brief, carry significant costs and adverse consequences.
Ensuring a reliable power supply necessitates accurate fault detection and swift resolution …
Ensuring a reliable power supply necessitates accurate fault detection and swift resolution …
A method for assessing and locating protection measurement loop errors based on an improved similarity algorithm
ZJ Mu, DX Liu, B Hu, Z Li - Electrical Engineering, 2024 - Springer
It is of importance to detect and locate the errors of the protection measurement loop of the
relay protection device for ensuring correct and timely functioning. The complex and …
relay protection device for ensuring correct and timely functioning. The complex and …
d-SyncAED: Distribution Synchrophasor Anomaly and Event Detection Tool in Real-Time
Timely and precise identification of anomalies and events in cyber-power distribution
systems is critical. This work introduces d-SyncAED, a real-time bad data anomaly and event …
systems is critical. This work introduces d-SyncAED, a real-time bad data anomaly and event …
Remote Sensing Estimation Method of Urbanization Level Based on Multi-Source Data Analysis
S Li, J Ye - International Conference on Smart Applications and …, 2024 - Springer
With the continuous development and progress of science and technology, the role of
remote sensing technology in the process of urbanization becomes more and more …
remote sensing technology in the process of urbanization becomes more and more …
Analytical and Machine Learning Solutions for Cyber Security Enhancement of Power Distribution System
M Ganjkhani - 2023 - search.proquest.com
Abstract The integration of Distribution Automation (DA) into the distribution system offers
significant advantages to the system operation and situational awareness, such as …
significant advantages to the system operation and situational awareness, such as …
Remote Sensing Estimation Method
S Li, J Ye - Smart Applications and Sustainability in the AIoT Era - books.google.com
With the continuous development and progress of science and technol-ogy, the role of
remote sensing technology in the process of urbanization becomes more and more …
remote sensing technology in the process of urbanization becomes more and more …
Protection in an Active Distribution Network Using Voltage Signals from Traveling Wave Recorders and Smart Meters
AK Pandey, DN Kishor, SR Mohanty… - Available at SSRN … - papers.ssrn.com
This paper presents a communication assisted scheme for unified traveling wave-based
fault detection and faulty branch identification for an active distribution network. The …
fault detection and faulty branch identification for an active distribution network. The …