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

页码：142 / 147

页数：6

共 50 条

[31] Energy-saving scheduling on IaaS HPC cloud environments based on a multi-objective genetic algorithm
Vila, Sergi
Guirado, Fernando
Lerida, Josep L.
Cores, Fernando
JOURNAL OF SUPERCOMPUTING, 2019, 75 (03): : 1483 - 1495
[32] Energy saving based on a multi-objective optimization model of the tidal pumping station along the coastal area
Zhao, F. L.
Qiu, B. Y.
Wang, H. J.
Yan, T. X.
JOURNAL OF CLEANER PRODUCTION, 2023, 421
[33] Parameter Optimization of Classroom Energy-saving Controller Based on Fuzzy Multi-objective Optimization Algorithm
Wang, Yizhong
Chen, Jun
Wang, Lili
Meng, Qingxin
BIOTECHNOLOGY, CHEMICAL AND MATERIALS ENGINEERING, PTS 1-3, 2012, 393-395 : 867 - +
[34] Energy-saving scheduling on IaaS HPC cloud environments based on a multi-objective genetic algorithm
Sergi Vila
Fernando Guirado
Josep L. Lerida
Fernando Cores
The Journal of Supercomputing, 2019, 75 : 1483 - 1495
[35] Multi-Objective Optimization Technology for Building Energy-Saving Renovation Strategy based on Genetic Algorithm
Deng S.
Lv L.
Decision Making: Applications in Management and Engineering, 2024, 7 (02): : 275 - 293
[36] Model based on Input-output Structure of Energy-saving Potential of Multi-objective Optimization
Zhang Zhigang
Yu Liying
ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING, 2012, 19 : 32 - 34
[37] Energy Saving Task Scheduling for Heterogeneous CMP System Based on Multi-objective Fuzzy Genetic Algorithm
Miao, Lei
Qi, Yong
Hou, Di
Wu, Chang-li
Dai, Yue-hua
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 3923 - +
[38] Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach
Yu, Shiwei
Zheng, Shuhong
Zhang, Xuejiao
Gong, Chengzhu
Cheng, Jinhua
ENERGY POLICY, 2018, 122 : 300 - 312
[39] Research on multi-train energy saving optimization based on cooperative multi-objective particle swarm optimization algorithm
Zhang, Yong
Zuo, Tingting
Zhu, Muhan
Huang, Cheng
Li, Jun
Xu, Zhiliang
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (02) : 2644 - 2667
[40] New symbolic model for multi-compressor operation based on multi-objective Jaya optimization for life/energy saving
Bayoumi, Mona A.
Esawy, Ahmed M.
Salim, Omar M.
AIN SHAMS ENGINEERING JOURNAL, 2023, 14 (12)

← 1 2 3 4 5 →