SMAS:Smart Meter Data Analytics System

Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas

Research output: Contribution to conferencePaperResearchpeer-review

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Abstract

Smart electricity meters are replacing conventional meters worldwide and have enabled a new application domain: smart meter data analytics. In this paper, we introduce SMAS, our smart meter analytics system, which demonstrates the actionable insight that consumers and utilities can obtain from smart meter data. Notably, we implemented SMAS inside a relational database management system using open source tools: PostgreSQL and the MADLib machine learning toolkit. In the proposed demonstration, conference attendees will interact with SMAS as electricity providers, consultants and consumers, and will perform various analyses on real data sets.
Original languageEnglish
Publication date2015
Number of pages4
Publication statusPublished - 2015
Externally publishedYes
Event31st IEEE International Conference on Data Engineering - Seoul, Korea, Republic of
Duration: 13 Apr 201517 Apr 2015
Conference number: 31

Conference

Conference31st IEEE International Conference on Data Engineering
Number31
Country/TerritoryKorea, Republic of
CitySeoul
Period13/04/201517/04/2015

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