A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning
The Smart Energy Management System (SEMS) for Residential Buildings using IOT-based back propagation with ANN is a novel approach to optimize energy consumption in buildings by leveraging data from internet of things (IOT) devices. This system collects data on energy consumption, weather conditions,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_04009.pdf |
| _version_ | 1797808086600122368 |
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| author | P. Joy Kiruba R. Ahila M. Biruntha R. Kalpana |
| author_facet | P. Joy Kiruba R. Ahila M. Biruntha R. Kalpana |
| author_sort | P. Joy Kiruba |
| collection | DOAJ |
| description | The Smart Energy Management System (SEMS) for Residential Buildings using IOT-based back propagation with ANN is a novel approach to optimize energy consumption in buildings by leveraging data from internet of things (IOT) devices. This system collects data on energy consumption, weather conditions, occupancy patterns, and sensor data from IOT devices such as motion sensors, temperature sensors, and smart appliances. The collected data is then preprocessed and used to train an artificial neural network (ANN) using back propagation algorithm. The trained model can then predict future energy demands, leading to cost savings and reduced environmental impact by optimizing energy consumption in a residential building. The proposed algorithm can be used as a foundation for building an effective SEMS using IOT-based back propagation with ANN. |
| first_indexed | 2024-03-13T06:32:15Z |
| format | Article |
| id | doaj.art-bc00e27f38894c39919e2c1aa0e9b140 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-13T06:32:15Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-bc00e27f38894c39919e2c1aa0e9b1402023-06-09T09:06:53ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013870400910.1051/e3sconf/202338704009e3sconf_icseret2023_04009A Smart Energy Management System for Residential Buildings Using IoT and Machine LearningP. Joy Kiruba0R. Ahila1M. Biruntha2R. Kalpana3PSNA College of Engineering and TechnologyPSNA College of Engineering and TechnologyAssistant Professor, Prince Dr. K. Vasudevan College of Engineering and TechnologyAssistant Professor, Prince Shri Venkateshwara Padmavathy Engineering CollegeThe Smart Energy Management System (SEMS) for Residential Buildings using IOT-based back propagation with ANN is a novel approach to optimize energy consumption in buildings by leveraging data from internet of things (IOT) devices. This system collects data on energy consumption, weather conditions, occupancy patterns, and sensor data from IOT devices such as motion sensors, temperature sensors, and smart appliances. The collected data is then preprocessed and used to train an artificial neural network (ANN) using back propagation algorithm. The trained model can then predict future energy demands, leading to cost savings and reduced environmental impact by optimizing energy consumption in a residential building. The proposed algorithm can be used as a foundation for building an effective SEMS using IOT-based back propagation with ANN.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_04009.pdfenergy management systemiotback propagationartificial neural network |
| spellingShingle | P. Joy Kiruba R. Ahila M. Biruntha R. Kalpana A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning E3S Web of Conferences energy management system iot back propagation artificial neural network |
| title | A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning |
| title_full | A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning |
| title_fullStr | A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning |
| title_full_unstemmed | A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning |
| title_short | A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning |
| title_sort | smart energy management system for residential buildings using iot and machine learning |
| topic | energy management system iot back propagation artificial neural network |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_04009.pdf |
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