Automatic standby power management using usage profiling and prediction

Seungwoo Lee, Gilyoung Ryu, Yohan Chon, Rhan Ha, Hojung Cha

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number2285921
Pages (from-to)535-546
Number of pages12
JournalIEEE Transactions on Human-Machine Systems
Volume43
Issue number6
DOIs
Publication statusPublished - 2013 Nov 1

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Electric power utilization
management
Smart meters
Energy management systems
Domestic appliances
Power management
Experiments
utilization
energy
regulation
experiment

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Control and Systems Engineering
  • Signal Processing
  • Human-Computer Interaction
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Lee, Seungwoo ; Ryu, Gilyoung ; Chon, Yohan ; Ha, Rhan ; Cha, Hojung. / Automatic standby power management using usage profiling and prediction. In: IEEE Transactions on Human-Machine Systems. 2013 ; Vol. 43, No. 6. pp. 535-546.
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Automatic standby power management using usage profiling and prediction. / Lee, Seungwoo; Ryu, Gilyoung; Chon, Yohan; Ha, Rhan; Cha, Hojung.

In: IEEE Transactions on Human-Machine Systems, Vol. 43, No. 6, 2285921, 01.11.2013, p. 535-546.

Research output: Contribution to journalArticle

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