Title :
Personalized Energy Auditor: Estimating personal electricity usage
Author :
Seungwoo Lee ; Daye Ahn ; Sukjun Lee ; Rhan Ha ; Hojung Cha
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
Abstract :
The goal of energy monitoring and eco-feedback systems is to induce energy consumers to change their behaviors to achieve a more sustainable way of life. Comprehensive research and commercial solutions provide energy consumers with information about overall energy costs or appliance-level energy usage. However, in order to better promote spontaneous energy saving with an eco-feedback system, personalized information is required. The conventional solutions cannot identify the energy usage of an individual user in a shared residential environment. In this paper, we propose the Personalized Energy Auditor, which estimates personal energy usage at home. Our system monitors and analyzes appliance usage, as well as the energy cost of the daily activities of residents. The system then estimates personal energy usage automatically, by linking appliance usage data with the individual user. Our system was installed in residential homes, and the experimental results indicate that it accurately estimates personal energy usage.
Keywords :
energy consumption; eco-feedback systems; energy consumers; energy monitoring; personal electricity usage; personalized energy auditor; Accuracy; Energy consumption; Fingerprint recognition; Home appliances; IEEE 802.11 Standards; Mobile handsets; Sensors; eco-feedback; home energy monitoring; indoor tracking; load disaggregation;
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/PerCom.2014.6813942