Learning a Context-aware Personal Model of Appliance Usage Patterns in Smart Home

被引：0

作者：

Zhang, Xinpeng ^{[1
]}

Kato, Takekazu ^{[1
]}

Matsuyama, Takashi ^{[1
]}

机构：

[1] Kyoto Univ, Grad Sch Informat, Kyoto 6068501, Japan

来源：

2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA) | 2014年

关键词：

appliance usage pattern; activity estimation;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

To conserve electricity, we have been proposing to control the power consumption of home electrical appliances according to their priority. In a household, appliances are used in performing activities of daily life (ADLs), e.g. cooking, bathing, sleeping, etc. It is assumed that the priority of an appliance changes dynamically according to its usage context of ADLs in a household; it also varies depending on the personal appliance usage habits of each household. In this paper, towards evaluating appliance priority, we learn a personal model of appliance usage patterns, which is aware of the context of ADLs, from appliance power consumption patterns.

引用

页码：73 / 78

页数：6

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