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Cited 3 time in webofscience Cited 5 time in scopus
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Developing Nontrivial Standby Power Management using Consumer Pattern Tracking for On-demand Appliance Energy Saving over Cloud Networks

Authors
Shin, TaehwanJeon, Hong-TaeByun, Jinsung
Issue Date
Aug-2016
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Standby power management; intelligent power management system; cloud computing; pattern-based control
Citation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.62, no.3, pp 251 - 257
Pages
7
Journal Title
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume
62
Number
3
Start Page
251
End Page
257
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6722
DOI
10.1109/TCE.2016.7613191
ISSN
0098-3063
1558-4127
Abstract
Standby power refers to the electric power consumed by electronic appliances while they are in a standby mode. As the electronic appliance have become smarter, they consume more standby power. To reduce wasted electricity, techniques to save standby power have been developed in conjunction with network and communication technologies. Automatic standby power saving systems have been developed, but the proposed systems do not consider the cost reduction, user satisfaction, and personalized environment. Furthermore, to provide automation, an intelligent system for collected information is required, which increases the cost of system integration. Therefore, this paper proposes cloud based on-demand standby power management using consumer pattern racking to address these problems to deal with these issues. The proposed system offers rule based management services with three usage types determined by user preferences and living patterns. The total power consumption is measured to verify the performance of the system. The proposed system reduces the power consumption up to 9.3%(1).
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