DocumentCode
3724424
Title
Intelligent Power Resource Allocation by Context-Based Usage Mining
Author
Yu-Shan Liao;Hsiu-Yu Liao;Duen-Ren Liu;Wen-Ting Fan;Hani Omar
Author_Institution
Inst. of Inf. Manage., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
546
Lastpage
550
Abstract
The smart meter is an emerging appliance which can be used to collect and monitor the power consumption data on electrical devices. Users can monitor these devices in order to adjust their operations for energy saving results. To avoid wasting power, it is important to set a power usage constraint to effectively monitor and control users´ power consumption within a restricted power usage range. However, existing researches on smart-metering systems do not address this issue. In this study, a novel Intelligent Energy Saving (IES) system is proposed to effectively monitor and utilize the power usages of devices under the power consumption constraint. The IES system conducts context-based mining to discover device usage patterns and provide intelligent analysis of context-based usage behaviors, effective monitoring and utilization of power usages of devices for intelligent energy saving.
Keywords
"Monitoring","Power demand","Smart meters","Context","Artificial intelligence","Resource management","Association rules"
Publisher
ieee
Conference_Titel
Advanced Applied Informatics (IIAI-AAI), 2015 IIAI 4th International Congress on
Print_ISBN
978-1-4799-9957-6
Type
conf
DOI
10.1109/IIAI-AAI.2015.165
Filename
7373968
Link To Document