[PDF][PDF] A Systematic literature review of Machine learning models for intrusion detection for smart utility meters; a systematic literature review

J Obuhuma, I flavia Agatha - GSJ, 2023 - researchgate.net
This systematic literature review examines the use of machine learning algorithms in smart
meter applications. Smart meters are digital devices that record and transmit energy …

[图书][B] Machine learning-based intrusion detection system in advanced metering infrastructure

MS Rahman - 2022 - search.proquest.com
Smart meters are quickly being introduced to households all over the world. Consumers will
benefit significantly from Advanced Metering Infrastructure (AMI). This high-tech equipment …

A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions

K Yadav - Data Analytics for Smart Grids Applications—A Key to …, 2023 - Springer
Smart grid applications are causing a wide range of research to be done on smart metering
and communiqué skills. Smart grids emerged from the energy management requirements of …

Smart Meter Data Analytics–Load Identification and Abnormality Detection using Computational Algorithms: A Case Study

JC Parath, AK Saha - 2022 IEEE 6th International Conference …, 2022 - ieeexplore.ieee.org
Smart meters have become increasingly popular replacing the conventional electricity
meter. Smart meters produce a large amount of data, thereby, making it difficult to analyze …

Ensemble machine learning models for the detection of energy theft

SK Gunturi, D Sarkar - Electric Power Systems Research, 2021 - Elsevier
Advanced metering infrastructure allows the two-way sharing of information between smart
meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats …

Machine learning techniques for energy theft detection in AMI

A Maamar, K Benahmed - … of the 2018 international conference on …, 2018 - dl.acm.org
Advanced Metering Infrastructure (AMI and smart meter) is considered as the basic building
block for the development of smart grid in the power distribution system. a Smart meter is …

Intrusion Detection Tool for Residential Consumers Equipped with Smart Meters

A Sharma, VK Saini, R Kumar… - … for Future Grids …, 2023 - ieeexplore.ieee.org
Residential load forecasting holds significant importance in the supervision of contemporary
power grids, aiding utilities in efficiently allocating resources to meet the surging electricity …

Advanced metering infrastructures: Security risks and mitigation

G Bendiab, KP Grammatikakis, I Koufos… - Proceedings of the 15th …, 2020 - dl.acm.org
Energy providers are moving to the smart meter era, encouraging consumers to install, free
of charge, these devices in their homes, automating consumption readings submission and …

[PDF][PDF] Smart Network-based Intrusion Detection System (SNIDS) for Advanced Metering Infrastructure

P Ioulianou - Studentnet. Cs. Manchester. Ac. Uk, 2023 - studentnet.cs.manchester.ac.uk
Smart meters have been deployed around the globe at a fast pace. Technologically
improved meters will have many benefits for the consumers. However, these devices are …

ENHANCING SMART METER OPERATIONS THROUGH ADVANCED PREDICTIVE ANALYTICS

Y Nanda, P Kaushik - insights2techinfo.com
The rapid growth of the electric smart meter (ESM) industry, especially in smart cities,
forecasts the installation of billions of smart meter bases globally by 2023. However, the …