Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture
Recent years have defined the need to reduce gas emissions to fight climate change, and society’s move to green energies is important to make responsible use of non-renewable energies. Therefore, it is now important to use technologies to optimize the use of actual energy sources. In this aspect, th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/12/4057 |
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| author | Diego M. Jiménez-Bravo Álvaro Lozano Murciego Daniel H. de la Iglesia Juan F. De Paz Gabriel Villarrubia González |
| author_facet | Diego M. Jiménez-Bravo Álvaro Lozano Murciego Daniel H. de la Iglesia Juan F. De Paz Gabriel Villarrubia González |
| author_sort | Diego M. Jiménez-Bravo |
| collection | DOAJ |
| description | Recent years have defined the need to reduce gas emissions to fight climate change, and society’s move to green energies is important to make responsible use of non-renewable energies. Therefore, it is now important to use technologies to optimize the use of actual energy sources. In this aspect, the Internet of Things (IoT) technology has had a great impact on society. Hence, this research work aims to use IoT technology and multi-agent systems to optimize the use of central heating installation in buildings. It is intended to improve the user’s comfort, reduce the consumption of energy and reduce the financial costs. Therefore, a multi-agent system is proposed to collect data from sensors located in a smart-home and obtain the best action to perform in a central heating system. The decisions will be taken by an intelligent agent based on fuzzy logic. This technology will allow for generating the control action with a fuzzy controller. The results obtained show that the proposal improves the actual system in terms of users’ comfort and financial and energy savings. |
| first_indexed | 2024-03-10T19:14:18Z |
| format | Article |
| id | doaj.art-a76f8c05532c4f1e9ac34bb575c64f81 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:14:18Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a76f8c05532c4f1e9ac34bb575c64f812023-11-20T03:35:23ZengMDPI AGApplied Sciences2076-34172020-06-011012405710.3390/app10124057Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent ArchitectureDiego M. Jiménez-Bravo0Álvaro Lozano Murciego1Daniel H. de la Iglesia2Juan F. De Paz3Gabriel Villarrubia González4Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, 37002 Salamanca, SpainExpert Systems and Applications Lab, Faculty of Science, University of Salamanca, 37002 Salamanca, SpainExpert Systems and Applications Lab, Faculty of Science, University of Salamanca, 37002 Salamanca, SpainExpert Systems and Applications Lab, Faculty of Science, University of Salamanca, 37002 Salamanca, SpainExpert Systems and Applications Lab, Faculty of Science, University of Salamanca, 37002 Salamanca, SpainRecent years have defined the need to reduce gas emissions to fight climate change, and society’s move to green energies is important to make responsible use of non-renewable energies. Therefore, it is now important to use technologies to optimize the use of actual energy sources. In this aspect, the Internet of Things (IoT) technology has had a great impact on society. Hence, this research work aims to use IoT technology and multi-agent systems to optimize the use of central heating installation in buildings. It is intended to improve the user’s comfort, reduce the consumption of energy and reduce the financial costs. Therefore, a multi-agent system is proposed to collect data from sensors located in a smart-home and obtain the best action to perform in a central heating system. The decisions will be taken by an intelligent agent based on fuzzy logic. This technology will allow for generating the control action with a fuzzy controller. The results obtained show that the proposal improves the actual system in terms of users’ comfort and financial and energy savings.https://www.mdpi.com/2076-3417/10/12/4057central heatingcontrol and automation systemsfuzzy logicgas emissions reductionmulti-agent systemoptimization |
| spellingShingle | Diego M. Jiménez-Bravo Álvaro Lozano Murciego Daniel H. de la Iglesia Juan F. De Paz Gabriel Villarrubia González Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture Applied Sciences central heating control and automation systems fuzzy logic gas emissions reduction multi-agent system optimization |
| title | Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture |
| title_full | Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture |
| title_fullStr | Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture |
| title_full_unstemmed | Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture |
| title_short | Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture |
| title_sort | central heating cost optimization for smart homes with fuzzy logic and a multi agent architecture |
| topic | central heating control and automation systems fuzzy logic gas emissions reduction multi-agent system optimization |
| url | https://www.mdpi.com/2076-3417/10/12/4057 |
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