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Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids
[article]
2022
arXiv
pre-print
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This work investigates two independent systems with overlapping electrical measurements with the goal to more rapidly identify anomalies. ...
To that end, we explore the potential benefits of combining overlapping measurements both to improve the speed/accuracy of anomaly detection and to provide additional validation of the collected measurements ...
This work is supported in part by the National Science Foundation under Grant 2043324 and 2025682. ...
arXiv:2201.02236v1
fatcat:ilt2oykvsngfhcvefpqvodupfm
Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control
2017
Electronics
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The existing power grid is going through a massive transformation. Smart grid technology is a radical approach for improvisation in prevailing power grid. ...
power grid. ...
In the area of power automation, it is applicable for smart meters, power system monitoring and measurement of various electric parameters. ...
doi:10.3390/electronics6010005
fatcat:mb45iq5jubfqto33ccraxn5ary
Tackling Energy Theft in Smart Grids through Data-driven Analysis
2020
2020 International Conference on Computing, Networking and Communications (ICNC)
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We argue that using the data provided by these partial smart grid deployments can still be beneficial in solving various issues such as energy theft detection. ...
In this paper, we focus on various data-driven techniques to detect energy theft in power networks. ...
ACKNOWLEDGEMENT This work was supported by ProSeG -Information Security, Protection and Resilience in Smart Grids, a research project funded by MCTI/CNPq/CT-ENERG (Grant # 404958/2013-3). ...
doi:10.1109/icnc47757.2020.9049793
dblp:conf/iccnc/JindalSM0MG20
fatcat:tl7krigw5veqbcc2nzzftlxl5q
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
[article]
2023
arXiv
pre-print
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In addition, we present different use cases in asset management, grid state visualization, forecasting, predictive maintenance, and novelty detection to highlight the benefits of these types of data. ...
Electricity grids have become an essential part of daily life, even if they are often not noticed in everyday life. ...
In addition to visualizing measured values such as SNR or voltage, the map can also be used to display results from downstream ML applications such as anomaly detection, estimated cable life, or detected ...
arXiv:2209.12693v3
fatcat:fiu2vywbprd5lijqofn34kp6ri
Applied Control and Artificial Intelligence for Energy Management: An Overview of Trends in EV Charging, Cyber-Physical Security and Predictive Maintenance
2023
Energies
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More in detail, to the best of the authors' knowledge, the scope of the literature review considered in this paper is specifically limited to recent trends in EV charging, cyber-physical security, and ...
The purpose of this event was mainly to create a venue for allowing international protagonists of AI to discuss and confront on the recent trends in AI. ...
The authors assume that the expected value of the PEVs' power demand is known to the service area operator, which can be estimated from historical data. ...
doi:10.3390/en16124678
fatcat:jczgpgzmzngvteulnehg6idmmq
Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid
2020
Sensors
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As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the ...
safe and stable operation of the smart grid. ...
In our work, we use supervised learning to solve the anomaly detection for terminals of the smart grid. ...
doi:10.3390/s20133635
pmid:32605307
pmcid:PMC7374375
fatcat:ufunl3xtpfeplnfahleubqtrqa
Detection techniques for data-level spoofing in GPS-based phasor measurement units
2016
2016 International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT)
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The relative phase angle difference (RPAD) is used in our algorithm to detect the spoofing attack. The algorithm uses Fast Fourier Transform to analyze the RPAD between two PMUs. ...
The second technique is an anomaly-based detection method which assumes that iii the statistics of malicious errors in GPS time solutions are unlikely to be consistent with the expected statistics of the ...
A Smart Grid (SG), regarded as the next generation power grid, uses two-way flow of electricity and information to create a widely distributed automated energy delivery network [2] . ...
doi:10.1109/mownet.2016.7496634
dblp:conf/mownet/ZhuYH16
fatcat:jo32o4yyq5f7jmfaszf7yzrpia
Validation of Machine Learning-Aided and Power Line Communication-Based Cable Monitoring Using Measurement Data
2024
Sensors
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The implementation of power line communications (PLC) in smart electricity grids provides us with exciting opportunities for real-time cable monitoring. ...
In this work, we validate ML-aided diagnostics by integrating measured channels. ...
The implementation of power line communication (PLC) modems in smart electricity grids provides us with exciting opportunities for real-time cable monitoring on live wires [3] . ...
doi:10.3390/s24020335
pmid:38257428
pmcid:PMC10820616
fatcat:5bir5d66mrce7f2tfbek5r2kv4
On Network Performance Evaluation toward the Smart Grid: A Case Study of DNP3 over TCP/IP
2011
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
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Our results show that although DNP3 over TCP/IP is widely considered as a smart grid communication protocol, it cannot be used in applications with delay constraints smaller than 16ms in Green Hub, such ...
The smart grid is the next-generation power system that incorporates power infrastructures with information technologies. ...
or anomalies on power feeders. ...
doi:10.1109/glocom.2011.6134406
dblp:conf/globecom/LuLWM11
fatcat:tx4nr5dtcfdzfax56qsrwxjdmy
A Cryptographic-Based Approach For Electricity Theft Detection in Smart Grid
2020
Computers Materials & Continua
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For this reason, this paper initiates a novel method based on RSA cryptographic algorithm to detect electricity fraud in smart grid. ...
technologies integration in smart grid fields. ...
A recent review of various modelling techniques for the detection of electricity theft in smart grid environment has been reported in Ahmad et al. ...
doi:10.32604/cmc.2020.09391
fatcat:vpi334r6ljawja32xmz6kjktam
Modeling and generating synthetic anomalies for energy and power time series
2022
Proceedings of the Thirteenth ACM International Conference on Future Energy Systems
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With the development of the smart grid, the number of recorded energy and power times series increases noticeably. ...
To ensure that such data is available, detecting the anomalies often present in recorded data is important. As a result, anomaly detection methods are a recent research topic. ...
Especially in fully automated smart grid settings, reliably and effectively detecting anomalies is thus important, making anomaly detection in energy time series a recent research topic [17] . ...
doi:10.1145/3538637.3539760
fatcat:yv77e4addjeidohzo4aoy75d6u
Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques
[article]
2018
arXiv
pre-print
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In this paper, to detect such misbehaving malicious smart grid devices, we propose a machine learning and convolution-based classification framework. ...
The smart grid concept has transformed the traditional power grid into a massive cyber-physical system that depends on advanced two-way communication infrastructure to integrate a myriad of different smart ...
In the smart grid context, authors in [10] use a neural network model to detect malicious voltage control actions. ...
arXiv:1804.05106v1
fatcat:xomuh3iq5bhe3llvirymvkwj2a
Taxonomy of Threats and Vulnerabilities in Smart Grid Networks
2021
Zenodo
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To make the power supply smooth and efficient, a smart grid network is introduced which uses communication technology. In any communication network, security is essential. ...
Electric power is a fundamental necessity in the 21st century. Consequently, any break in electric power is probably going to affect the general activity. ...
SGN uses many components in its system and network, all explained as follows: 1) SGN system components: SGN Taxonomy of Threats and Vulnerabilities in Smart Grid Networks communicate between a HAN and ...
doi:10.5281/zenodo.4706581
fatcat:k3iqzdpayrgaheb6uuk5h5hvle
ENERMONGRID: Intelligent Energy Monitoring, Visualization and Fraud Detection for Smart Grids
2020
Revista Perspectiva Empresarial
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This document presents an analysis of the ENERMONGRID tool, a tool used for intelligent energy monitoring, data visualization and fraud detection in electric networks. ...
The current obsolete electricity network is being transformed into net an advanced, digitalized and more efficient one known as Smart Grid. ...
those entities in charge of managing an electric network, with the focus of doing so in Smart Grids. ...
doi:10.16967/23898186.669
fatcat:v3mqf4qwb5c27ppzjbbpvwjysu
Digital Twin Concept Developing on an Electrical Distribution System—An Application Case
2022
Energies
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By developing a digital twin in the electrical power grid, a virtual replica of the network is obtained providing network virtual maps, 3D asset models, dynamic and real-time data of grid assets, and IoT ...
Through the transformation that the electrical sector has been passing by, improvements in asset management and the guarantee of sustainable and quality services have become essential aspects for power ...
This work is related to the project "Underground Smart Grid" under PD-0390-1080/2017 ANEEL. ...
doi:10.3390/en15082836
fatcat:tdrpcfizdbcejg74aant5khwvy
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