Integrating Cloud and Edge/Fog Computing in Advanced Metering Infrastructure

Advanced Metering Infrastructure (AMI) is a system consisting of smart meters, communications networks, and data management systems that enable two-way communication between utilities and customers. This paper aims to introduce a solution for an Advanced Metering Infrastructure (AMI) that utilizes cloud technologies as well as edge and fog computing technologies. We propose an innovative solution for AMI that combines the high performance and scalability of cloud computing with low latency and local processing strength in edge/fog systems. This integrated solution improves the accuracy and promptness of energy consumption data capture, either at a stand-alone level or combined network concept, which provides real-time data processing. Our solution utilizes LoRaWAN technology to collect data from geographically dispersed meters. The data collected are stored in an Internet of Things (IoT) framework for real-time dashboards and data analysis. The proposed solution established a robust and efficient framework for modern energy management by integrating these technologies.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/issi63632.2024.10720496
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.21
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article

Integrating Cloud and Edge/Fog Computing in Advanced Metering Infrastructure

Ioan Ungurean, Nicoleta Cristina Găitan
1 citations
Smart Grid Energy Management
0.21
article

Integrating Cloud and Edge/Fog Computing in Advanced Metering Infrastructure

Ioan Ungurean, Nicoleta Cristina Găitan
article en
1 citations

Abstract

Advanced Metering Infrastructure (AMI) is a system consisting of smart meters, communications networks, and data management systems that enable two-way communication between utilities and customers. This paper aims to introduce a solution for an Advanced Metering Infrastructure (AMI) that utilizes cloud technologies as well as edge and fog computing technologies. We propose an innovative solution for AMI that combines the high performance and scalability of cloud computing with low latency and local processing strength in edge/fog systems. This integrated solution improves the accuracy and promptness of energy consumption data capture, either at a stand-alone level or combined network concept, which provides real-time data processing. Our solution utilizes LoRaWAN technology to collect data from geographically dispersed meters. The data collected are stored in an Internet of Things (IoT) framework for real-time dashboards and data analysis. The proposed solution established a robust and efficient framework for modern energy management by integrating these technologies.

Ştefan cel Mare University of Suceava (RO)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Smart Grid Energy Management
0.21
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Integrating Cloud and Edge/Fog Computing in Advanced Metering Infrastructure — Ioan Ungurean, Nicoleta Cristina Găitan · (2024) | TGRS Research Map | TGRS