• 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