Aggregation Architecture for Data Reduction and Privacy in Advanced Metering Infrastructure

TL;DR

This paper proposes an aggregation architecture for Advanced Metering Infrastructure that enhances consumer privacy and reduces data volume by using Aggregators for anonymized data summarization and modular analysis.

Contribution

It introduces a novel architecture utilizing Aggregators with data buffering and modular analysis to improve privacy and data management in AMI deployments.

Findings

Enhanced consumer privacy through anonymized data aggregation

Reduced data transmission volume in AMI systems

Maintained billing and connection services with the new architecture

Abstract

Advanced Metering Infrastructure (AMI) have rapidly become a topic of international interest as governments have sponsored their deployment for the purposes of utility service reliability and efficiency, e.g., water and electricity conservation. Two problems plague such deployments. First is the protection of consumer privacy. Second is the problem of huge amounts of data from such deployments. A new architecture is proposed to address these problems through the use of Aggregators, which incorporate temporary data buffering and the modularization of utility grid analysis. These Aggregators are used to deliver anonymized summary data to the central utility while preserving billing and automated connection services.