Visible to the public Aggregation architecture for data reduction and privacy in advanced metering infrastructure

TitleAggregation architecture for data reduction and privacy in advanced metering infrastructure
Publication TypeConference Paper
Year of Publication2017
AuthorsForeman, J. C., Pacheco, F. E.
Conference Name2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)
ISBN Number978-1-5386-3312-0
Keywordsadvanced metering infrastructure, Aggregation, aggregation architecture, aggregators, anonymized summary data, Architecture, Big Data, consumer privacy, data privacy, data reduction, electricity conservation, Estimation, Floods, Human Behavior, human factors, international interest, Measurement, power grids, privacy, pubcrawl, resilience, Resiliency, Scalability, smart grid consumer privacy, Smart Grid Privacy, smart meters, smart power grids, temporary data buffering, utility grid analysis
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.

URLhttp://ieeexplore.ieee.org/document/8126704/
DOI10.1109/ISGT-LA.2017.8126704
Citation Keyforeman_aggregation_2017