A Review of anomaly detection techniques in advanced metering infrastructure

Abstract

Advanced Metering Infrastructure (AMI) is a component of electrical networks that combines the energy and telecommunication infrastructure to collect, measure and analyze consumer energy consumptions. One of the main elements of AMI is a smart meter that used to manage electricity generation and distribution to end-user. The rapid implementation of AMI raises the need to deliver better maintenance performance and monitoring more efficiently while keeping consumers informed on their consumption habits. The convergence from analog to digital has made AMI tend to inherit the current vulnerabilities of digital devices that prone to cyber-attack, where attackers can manipulate the consumer energy consumption for their benefit. A huge amount of data generated in AMI allows attackers to manipulate the consumer energy consumption to their benefit once they manage to hack into the AMI environment. Anomalies detection is a technique can be used to identify any rare event such as data manipulation that happens in AMI based on the data collected from the smart meter. The purpose of this study is to review existing studies on anomalies techniques used to detect data manipulation in AMI and smart grid systems. Furthermore, several measurement methods and approaches used by existing studies will be addressed.

A Survey of Collective Anomaly Detection on Sequence Dataset

“…The desired trait of the anomaly is the key point to selecting an appropriate anomaly detection approach (Al-Ghaili, Ibrahim, Hairi, Rahim, & Kasim, 2021). Based on it, the anomaly can be divided into point anomaly, contextual anomaly and collective anomaly.…”

Synthetic data generation for machine learning model training for energy theft scenarios using cosimulation

“…We do not focus on the details of specific ML models. We refer to the surveys in [18], [19] and [20] for readers interested in comparisons of ML approaches for detection of anomalous activity in power distribution networks. Most of the methods described in the referenced work above can benefit from the synthetic data generation approach presented in this paper.…”

Wireless Digital Smart Energy Meter Based on GSM/SMS Technology

“…The AMI network can do things like record meter points, talk to customers' homes, and turn on and off services. (14,15,16) Power Line Communication (PLC) and wireless systems like Global System Mobile (GSM) and WiMAX are two examples of possible communication architectures. (17) Data is digitized and compressed before transmission via GSM, a digital mobile phone technology.…”