SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles

被引:3
|
作者
Lacerda, Henrique F. [1 ]
Feitosa, Allan R. S. [1 ]
Silva-Filho, Abel G. [1 ]
Santos, Wellington P. [2 ]
Cordeiro, Filipe R. [3 ]
机构
[1] Univ Fed Pernambuco, Informat Ctr, Ave Jornalista Anibal Fernandes S-N,Cid Univ, BR-50674055 Recife, PE, Brazil
[2] Univ Fed Pernambuco, Dept Biomed Engn, Ave Arquitetura S-N,Cid Univ, BR-50674055 Recife, PE, Brazil
[3] Univ Fed Rural Pernambuco, Estat & Informat Dept, Rov Gov Mario Covas, BR-52171011 Recife, PE, Brazil
来源
ADVANCES IN ARTIFICIAL INTELLIGENCE, CANADIAN AI 2017 | 2017年 / 10233卷
关键词
Multi-objective optimization; Smart Home; Energy save; MANAGEMENT;
D O I
10.1007/978-3-319-57351-9_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The increasing number of electronic appliances in the houses and the huge human dependency on fossil fuel, bring the necessity of an efficient use of the available power sources. The Smart Home systems allow monitoring and controlling residential appliances. The proposed system works in residential energetic management using multi-objective techniques to recommend more economic appliances usage profiles than the actual usage profile of the user. However, these recommended profiles have to be similar to the user normal usage profile before the recommendation, allowing to make a reasonable recommendation. For the tested appliances, the NSGA-II technique has shown the best solutions. From the best results it was possible to get similar profiles to the normal use with until 90% of energy saving.
引用
收藏
页码:142 / 147
页数:6
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