MinNet: toward more intelligent smart home energy management systems with fewer sensors Online publication date: Mon, 23-May-2016
by Jiuyang Tang; Guoming Tang; Kui Wu
International Journal of Sensor Networks (IJSNET), Vol. 20, No. 4, 2016
Abstract: The 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.
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