Aggregation Architecture for Data Reduction and Privacy in Advanced Metering Infrastructure
This addresses privacy and data management problems for utility providers and consumers, but appears incremental as it builds on existing aggregation concepts.
The paper tackles privacy and data volume issues in Advanced Metering Infrastructure by proposing an Aggregator architecture that uses temporary buffering and modular analysis to anonymize summary data for utilities while maintaining billing and connection services.
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.