Optimizing household energy planning in smart cities: A multiobjective approach
This article presents the advances in the design and implementation of a recommendation system for planning the use of household appliances, focused on improving energy efficiency from the point of view of both energy companies and end-users. The system proposes using historical information and dat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2020-06-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/340693 |
| _version_ | 1797861837737295872 |
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| author | Sergio Nesmachnow Giovanni Colacurcio Diego Gabriel Rossit Jamal Toutouh Francisco Luna |
| author_facet | Sergio Nesmachnow Giovanni Colacurcio Diego Gabriel Rossit Jamal Toutouh Francisco Luna |
| author_sort | Sergio Nesmachnow |
| collection | DOAJ |
| description |
This article presents the advances in the design and implementation of a recommendation system for planning the use of household appliances, focused on improving energy efficiency from the point of view of both energy companies and end-users. The system proposes using historical information and data from sensors to define instances of the planning problem considering user preferences, which in turn are proposed to be solved using a multiobjective evolutionary approach, in order to minimize energy consumption and maximize quality of service offered to users. Promising results are reported on realistic instances of the problem, compared with situations where no intelligent energy planning are used (i.e., ‘Bussiness as Usual’ model) and also with a greedy algorithm developed in the framework of the reference project. The proposed evolutionary approach was able to improve up to 29.0% in energy utilization and up to 65,3% in user preferences over the reference methods
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| first_indexed | 2024-04-09T22:09:48Z |
| format | Article |
| id | doaj.art-9cb28c8a88b1417d94e795ff663b70ef |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:09:48Z |
| publishDate | 2020-06-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-9cb28c8a88b1417d94e795ff663b70ef2023-03-23T12:28:17ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442020-06-0110110.17533/udea.redin.20200587Optimizing household energy planning in smart cities: A multiobjective approachSergio Nesmachnow0Giovanni Colacurcio1Diego Gabriel Rossit2Jamal Toutouh3Francisco Luna4University of the RepublicUniversity of the RepublicNational University of the SouthMassachusetts Institute of TechnologyUniversity of Málaga This article presents the advances in the design and implementation of a recommendation system for planning the use of household appliances, focused on improving energy efficiency from the point of view of both energy companies and end-users. The system proposes using historical information and data from sensors to define instances of the planning problem considering user preferences, which in turn are proposed to be solved using a multiobjective evolutionary approach, in order to minimize energy consumption and maximize quality of service offered to users. Promising results are reported on realistic instances of the problem, compared with situations where no intelligent energy planning are used (i.e., ‘Bussiness as Usual’ model) and also with a greedy algorithm developed in the framework of the reference project. The proposed evolutionary approach was able to improve up to 29.0% in energy utilization and up to 65,3% in user preferences over the reference methods https://revistas.udea.edu.co/index.php/ingenieria/article/view/340693smart citieshousehold energy planningevolutionary computationmultiobjective optimizationmixed integer programming |
| spellingShingle | Sergio Nesmachnow Giovanni Colacurcio Diego Gabriel Rossit Jamal Toutouh Francisco Luna Optimizing household energy planning in smart cities: A multiobjective approach Revista Facultad de Ingeniería Universidad de Antioquia smart cities household energy planning evolutionary computation multiobjective optimization mixed integer programming |
| title | Optimizing household energy planning in smart cities: A multiobjective approach |
| title_full | Optimizing household energy planning in smart cities: A multiobjective approach |
| title_fullStr | Optimizing household energy planning in smart cities: A multiobjective approach |
| title_full_unstemmed | Optimizing household energy planning in smart cities: A multiobjective approach |
| title_short | Optimizing household energy planning in smart cities: A multiobjective approach |
| title_sort | optimizing household energy planning in smart cities a multiobjective approach |
| topic | smart cities household energy planning evolutionary computation multiobjective optimization mixed integer programming |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/340693 |
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