出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Electricity may not be economically stored as other forms of energy such that it would be in
short supply during the peak time. In view of this difficulty, most power suppliers encourage
their customers to adopt time-of-use rate plans. Consequently, it is essential for a user to be
able to perceive the real-time information of power consumption. With the advancement of
Internet of Things technologies, smart sockets are becoming a commodity to manage power
consumption in a household. However, current smart sockets merely present the total electricity
consumption rather than the individual consumption of household appliances. In this work, we
thus design the capability of appliance recognition and implement this feature into a smart
socket so that we can identify the power consumption of each appliance respectively. The
proposed recursive DBSCAN approach realizes the recognition task without prior knowledge of
new appliances and shows a feasible result in our experimental studies.
关键词：Appliance Recognition; Data Clustering; Smart Socket
