Name
Title | ||
|---|---|---|
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-57351-9_18 | ADVANCES IN ARTIFICIAL INTELLIGENCE, CANADIAN AI 2017 |
Keywords | Field | DocType |
Multi-objective optimization,Smart Home,Energy save | Objective approach,Industrial engineering,Computer science,Multi-objective optimization,Home automation,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
10233 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henrique F. Lacerda | 1 | 1 | 0.71 |
| Allan R. S. Feitosa | 2 | 0 | 1.69 |
| Abel Guilhermino Silva-Filho | 3 | 62 | 12.94 |
| Wellington P. dos Santos | 4 | 36 | 11.00 |
| Filipe R. Cordeiro | 5 | 6 | 4.92 |