Automatic Standby Power Management Using Usage Profiling and Prediction

• Published in: IEEE transactions on human-machine systems Vol. 43; no. 6; pp. 535 - 546
• Main Authors: Lee, Seungwoo, Ryu, Gilyoung, Chon, Yohan, Ha, Rhan, Cha, Hojung
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Appliances; Applied sciences; Computer programs; Computer science; control theory; systems; Electric utilities; Electrical engineering. Electrical power engineering; Electrical power engineering; Electricity consumption; Energy conservation; Energy consumption; Exact sciences and technology; Home appliances; Home automation; home energy saving; Power demand; Power networks and lines; Reactive power; smart metering; Software; Software engineering; standby power reduction; Theory. Simulation; Energy consumption; Home automation; Prototype; Probabilistic approach; Software development; smart metering; Electricity consumption; Household; Context aware; Experimental study; standby power reduction; Domestic appliances; Standby system; Electrical network; Power control; System reduction; Electric power consumption; Power factor; Energy management; User behavior; Intelligent system; home energy saving
• ISSN: 2168-2291; 2168-2305
• DOI: 10.1109/THMS.2013.2285921

Reducing the standby power used by home appliances is critical in a household energy management system. Although significant effort has been made to minimize the standby power use of appliances, manual operation is still required to eliminate standby power usage. Additionally, the current regulation strategy of standby power typically focuses on real-power consumption, and it does not consider the apparent power and power factors. We propose an automatic standby power reduction system that is based on user-context profiling. Our system profiles and analyzes the occupancy pattern, as well as the appliance usage. The system then actively manages standby power utilization by predicting the probabilities of future appliance usage. We built a prototype smart meter to monitor and control the power lines. We also developed software that implements the proposed scheme. Our experiments, conducted for three to five weeks in four households, show that power consumption in standby mode can be reduced.