Energy Saving by Ambient Intelligence Techniques

被引:13
|
作者
Cristani, Matteo [1 ]
Karafili, Erisa [1 ]
Tomazzoli, Claudio [1 ]
机构
[1] Univ Verona, Dept Comp Sci, Verona, Italy
关键词
energy saving; ambient intelligence; ambient intelligence techniques; intelligent systems; machine learning; CONSUMPTION;
D O I
10.1109/NBiS.2014.39
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays the problem of energy consumption is becoming a pressing problem. We present an innovative system named Elettra able to allow people to monitor and control energy consumption in one or more buildings. For improving Elettra we introduce different methods taken from ambient intelligence. Through these methods we can infer energy consumption, construct a plan for decreasing energy consumption, improve this plan and adopt it to the system. The implementation of these methods to Elettra helps its automation and increases its efficiency.
引用
收藏
页码:157 / 164
页数:8
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