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http://dx.doi.org/10.6109/jkiice.2017.21.9.1718

Realization of home appliance classification system using deep learning  

Son, Chang-Woo (Department of Electronic & Communication Eng, Korea Maritime University)
Lee, Sang-Bae (Department of Electronic & Communication Eng, Korea Maritime University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.9, 2017 , pp. 1718-1724 More about this Journal
Abstract
Recently, Smart plugs for real time monitoring of household appliances based on IoT(Internet of Things) have been activated. Through this, consumers are able to save energy by monitoring real-time energy consumption at all times, and reduce power consumption through alarm function based on consumer setting. In this paper, we measure the alternating current from a wall power outlet for real-time monitoring. At this time, the current pattern for each household appliance was classified and it was experimented with deep learning to determine which product works. As a result, we used a cross validation method and a bootstrap verification method in order to the classification performance according to the type of appliances. Also, it is confirmed that the cost function and the learning success rate are the same as the train data and test data.
Keywords
Multi Layer Perception; Deep Learning; Pattern Recognition; AC Current; Smart plug;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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