SMAS: A Smart Meter Data Analytics System

被引：0
|
作者：
Liu, Xiufeng [1 ]
Golab, Lukasz [1 ]
Ilyas, Ihab F. [1 ]
机构：
[1] Univ Waterloo, 200 Univ Ave West, Waterloo, ON, Canada
来源：
2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1476 / 1479
页数：4
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