標題: Detecting Users' Behaviors based on Nonintrusive Load Monitoring Technologies
作者: Chen, Yung-Chi
Chu, Chun-Mei
Tsao, Shiao-Li
Tsai, Tzung-Cheng
資訊工程學系
Department of Computer Science
關鍵字: non-intrusive load monitoring;energy management system;data mining;user behavior detection
公開日期: 2013
摘要: Conventional user behavior detection relies on a large amount of sensors and expensive monitoring devices. Moreover, the systems are usually intrusive and may suffer from deployment problems. In this paper, we design and implement an energy management system (EMS) consisting of a non-intrusive load monitoring (NILM) meter, gateway, server and mobile device. The NILM meter provides a non-intrusive and low-cost solution to recognize the states of appliances and to disaggregate the energy consumption of appliances in a house/building. Based on the proposed EMS, we further implement a data mining scheme to detect users' behaviors based on the usage patterns of appliances. A prototype system verifies our design concept and the simulation results show that the detection accuracy of users' behaviors is more than 80% for most of the activities.
URI: http://hdl.handle.net/11536/23070
ISBN: 978-1-4673-5200-0
ISSN: 1810-7869
期刊: 2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)
起始頁: 804
結束頁: 809
Appears in Collections:Conferences Paper