Name
Title | ||
|---|---|---|
MinNet: toward more intelligent smart home energy management systems with fewer sensors |
Abstract | ||
|---|---|---|
AbstractThe smart home technology has attracted considerable attention for decades. Nowadays, as the drastic increase of home energy consumption, efficient home energy management system HEMS has become a major building block. Aiming at building an easy-to-deploy intelligent HEMS, we design MinNet to i monitor the states of individual home appliances using the minimum number of power sensors and ii provide occupancy states of a house/room with inference intelligence. In detail, we use convenient plug-in power sensors to construct a wireless sensor network for data collection and establish an analytical framework based on the power model of appliances. By solving a carefully-designed optimisation problem, we find the minimum number of sensors to decode the states of appliances from their aggregated power and infer the occupancy states of the house/room. We implement MinNet in a house and validate its accuracy in appliance states monitoring and occupancy inference. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1504/IJSNET.2016.076727 | Periodicals |
Keywords | Field | DocType |
HEMS, home energy management system, WSN, wireless sensor network, power monitoring | Energy management,Data collection,Inference,Computer science,Home automation,Occupancy,Energy management system,Energy consumption,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
20 | 4 | 1748-1279 |
Citations | PageRank | References |
0 | 0.34 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiuyang Tang | 1 | 46 | 12.86 |
| Guoming Tang | 2 | 67 | 17.62 |
| Kui Wu | 3 | 32 | 6.79 |