Fuzzy logic-based energy management in IoT-Enabled buildings
The growth of the Internet of Things (IoT) has brought about the need for effi-cient energy management in buildings. This challenge has led to the development of various energy management systems that utilize different approaches. In this article, a fuzzy logic-based approach is proposed for energy...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01009.pdf |
| _version_ | 1797248937171615744 |
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| author | Imamguluyev Rahib Imanova Tunzala Nabiyeva Camala Poladova Ulviyya Amirova Rasmiyya |
| author_facet | Imamguluyev Rahib Imanova Tunzala Nabiyeva Camala Poladova Ulviyya Amirova Rasmiyya |
| author_sort | Imamguluyev Rahib |
| collection | DOAJ |
| description | The growth of the Internet of Things (IoT) has brought about the need for effi-cient energy management in buildings. This challenge has led to the development of various energy management systems that utilize different approaches. In this article, a fuzzy logic-based approach is proposed for energy management in IoT-enabled buildings. The system utilizes data from various sensors and devices to determine the optimal energy consumption levels for different areas of the build-ing. Fuzzy logic is used to analyze the data and make decisions about energy us-age, taking into account various factors such as occupancy levels, weather condi-tions, and user preferences. Simulation studies have shown that the fuzzy logic-based system can significantly reduce energy consumption while maintaining us-er comfort levels. The system can be implemented in various contexts, such as commercial, residential, or industrial buildings. The proposed system has the po-tential to improve energy efficiency and reduce costs, contributing to a more sus-tainable and environmentally-friendly future. Overall, the fuzzy logic-based ener-gy management system is a promising solution to the challenges of energy man-agement in IoT-enabled buildings. |
| first_indexed | 2024-04-24T20:22:31Z |
| format | Article |
| id | doaj.art-482f792d7aa14355b6459e87891847c2 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-24T20:22:31Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-482f792d7aa14355b6459e87891847c22024-03-22T07:55:39ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015010100910.1051/e3sconf/202450101009e3sconf_iccsei2023_01009Fuzzy logic-based energy management in IoT-Enabled buildingsImamguluyev Rahib0Imanova Tunzala1Nabiyeva Camala2Poladova Ulviyya3Amirova Rasmiyya4Head of IT department at Baku Business University, 88a H. Zardabi St. Baku, AZ1122, Azerbaijan and Lecturer at Odlar Yurdu UniversityBaku Business UniversityBaku Business UniversityBaku Business UniversityAzerbaijan University of LanguagesThe growth of the Internet of Things (IoT) has brought about the need for effi-cient energy management in buildings. This challenge has led to the development of various energy management systems that utilize different approaches. In this article, a fuzzy logic-based approach is proposed for energy management in IoT-enabled buildings. The system utilizes data from various sensors and devices to determine the optimal energy consumption levels for different areas of the build-ing. Fuzzy logic is used to analyze the data and make decisions about energy us-age, taking into account various factors such as occupancy levels, weather condi-tions, and user preferences. Simulation studies have shown that the fuzzy logic-based system can significantly reduce energy consumption while maintaining us-er comfort levels. The system can be implemented in various contexts, such as commercial, residential, or industrial buildings. The proposed system has the po-tential to improve energy efficiency and reduce costs, contributing to a more sus-tainable and environmentally-friendly future. Overall, the fuzzy logic-based ener-gy management system is a promising solution to the challenges of energy man-agement in IoT-enabled buildings.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01009.pdf |
| spellingShingle | Imamguluyev Rahib Imanova Tunzala Nabiyeva Camala Poladova Ulviyya Amirova Rasmiyya Fuzzy logic-based energy management in IoT-Enabled buildings E3S Web of Conferences |
| title | Fuzzy logic-based energy management in IoT-Enabled buildings |
| title_full | Fuzzy logic-based energy management in IoT-Enabled buildings |
| title_fullStr | Fuzzy logic-based energy management in IoT-Enabled buildings |
| title_full_unstemmed | Fuzzy logic-based energy management in IoT-Enabled buildings |
| title_short | Fuzzy logic-based energy management in IoT-Enabled buildings |
| title_sort | fuzzy logic based energy management in iot enabled buildings |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01009.pdf |
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