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 language | English |
|---|---|
| Publication date | 2015 |
| Number of pages | 4 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 2015 IEEE 31st International Conference on Data Engineering - Seoul, Korea, Republic of Duration: 13 Apr 2015 → 17 Apr 2015 Conference number: 31 https://ieeexplore.ieee.org/xpl/conhome/7109453/proceeding |
Conference
| Conference | 2015 IEEE 31st International Conference on Data Engineering |
|---|---|
| Number | 31 |
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 13/04/2015 → 17/04/2015 |
| Internet address |
