A Smart IoT based Non-Intrusive Appliances Identification Technique in a Residential System

To improve the living standard of smart cities, remote monitoring of residential appliances is a significant aspect for home energy management system. With enormous evolution of the internet and machine intelligence, smart monitoring of home appliances can be realized using the Internet of Things (IoT) platform. In this paper, few statistical features extracted from the raw time series electrical signal is used to classify or identify the appliances. Using these statistical features, an IoT based fuzzy rule technique is built to monitor the residential appliances. The IoT based approach for monitoring the electrical appliances is done such that reducing time and resources can be achieved more proficiently. The IoT based platform, allows to identify appliances remotely using present network structure. It is also making prospects of more economical, higher efficiency with least human interference. Furthermore, a prototype system in laboratory has been demonstrated and tested for viability of the proposed load monitoring technique.