Anomaly Diagnosis Method and Condition Assessment of Power Metering Device Based on SSD Algorithm

C Jiang, J Wang, Y Wang, W Zhao - Scalable Computing: Practice and …, 2023 - scpe.org
The advancement of anomaly diagnosis methods plays a crucial role in classifying and
analyzing data, particularly in distinguishing between normal and abnormal patterns. This …

Anomaly Detection in Smart Meters: Analytical Study

D Singhal, L Ahuja, A Seth - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
Smart grid comprises of various components such as SCADA, AMI that collects a large
amount of data at regular intervals of an hour or minute. An ever-increasing population …

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 …

[PDF][PDF] Anomaly detection using power signature of consumer electrical devices

C Cernazanu-Glavan, M Marcu - Adv Electr Comput Eng, 2015 - researchgate.net
The use of the smart grid for developing intelligent applications is a current trend of great
importance. One advantage lies in the possibility of direct monitoring of all devices …

Data analytics-based anomaly detection in smart distribution network

A Saad, N Sisworahardjo - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Monitoring energy consumption and diagnosing abnormal behavior will enable utilities to
introduce strategies to improve system resiliency, stability, and to meet energy efficiency …

Research on anomaly identification of electric power metering device based on data driven model

Y Li, X Li, F Zhang, C Yang, S Hu… - … Conference on Energy …, 2023 - spiedigitallibrary.org
In the process of judging the abnormality of power metering devices, the accuracy of
identification results is relatively low due to the intersection of abnormal features. Therefore …

Detection of abnormal load consumption in the power grid using clustering and statistical analysis

M Cuper, M Lóderer, V Rozinajová - … 14–16, 2019, Proceedings, Part I 20, 2019 - Springer
Nowadays, the electricity load profiles of customers (consumers and prosumers) are
changing as new technologies are being developed, and therefore it is necessary to …

Comparison of Enhanced Isolation Forest and Enhanced Local Outlier Factor in Anomalous Power Consumption Labelling

R ELHadad, YF Tan, WN Tan - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
Anomaly detection in power consumption is one of the major challenges faced by the
modern world in response to the excessive electric consumption in developing countries. As …

Research on Anomaly Detection of Smart Meters Data Based on Feature Clustering Method

Z Chen, L Guo, Y Du, X Dong… - 2021 IEEE/IAS …, 2021 - ieeexplore.ieee.org
In recent years, electricity market has developed rapidly, the market trading modes and
electricity price system have become more diversified. Because of these, energy metering is …

Anomaly detection of electricity load data based on MixMatch

S Sun, Y Zhou, H He, J He, Y Chi - … International Conference on …, 2021 - ieeexplore.ieee.org
With the development of power industry, electricity has become one of the most important
energy sources in our country, related to the lifeline of the country's economy. The electricity …