Smart home energy management: A reactive and anticipatory approach

被引：0
|
作者：
Siddiqui, S [1 ]
Simmons, G [1 ]
机构：
[1] Univ S Alabama, Mobile, AL 36688 USA
来源：
ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2 | 2005年
关键词：
AI; expert systems; embedded systems;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper summarizes experiments conducted, using a fully instrumented home, aimed at reducing power consumption through intelligent management of power consuming devices within the home The home used in the experiment was constructed specifically for this purpose and was actually located within a larger laboratory environment. Control hardware and software was developed along with a GUI interface to display the current status of devices within the home A rule-based expert system was developed that reactively controlled devices within the home based on the activities of the occupants. The power savings realized were significant.
引用
收藏
页码：314 / 320
页数：7
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