Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management
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| Wydane w: | Future Internet vol. 16, no. 6 (2024), p. 208 |
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| 1. autor: | |
| Kolejni autorzy: | , , |
| Wydane: |
MDPI AG
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| Hasła przedmiotowe: | |
| Dostęp online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Etykiety: |
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| 024 | 7 | |a 10.3390/fi16060208 |2 doi | |
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| 100 | 1 | |a Cotti, Luca | |
| 245 | 1 | |a Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management | |
| 260 | |b MDPI AG |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a End-User Development has been proposed over the years to allow end users to control and manage their Internet of Things-based environments, such as smart homes. With End-User Development, end users are able to create trigger-action rules or routines to tailor the behavior of their smart homes. However, the scientific research proposed to date does not encompass methods that evaluate the suitability of user-created routines in terms of energy consumption. This paper proposes using Machine Learning to build a Digital Twin of a smart home that can predict the energy consumption of smart appliances. The Digital Twin will allow end users to simulate possible scenarios related to the creation of routines. Simulations will be used to assess the effects of the activation of appliances involved in the routines under creation and possibly modify them to save energy consumption according to the Digital Twin’s suggestions. | |
| 651 | 4 | |a United Kingdom--UK | |
| 653 | |a Use statistics | ||
| 653 | |a End users | ||
| 653 | |a Machine learning | ||
| 653 | |a Software | ||
| 653 | |a Appliances | ||
| 653 | |a Datasets | ||
| 653 | |a Internet of Things | ||
| 653 | |a Digital twins | ||
| 653 | |a Sensors | ||
| 653 | |a Smart buildings | ||
| 653 | |a Routines | ||
| 653 | |a Smart houses | ||
| 653 | |a Algorithms | ||
| 653 | |a Automation | ||
| 653 | |a Energy consumption | ||
| 700 | 1 | |a Guizzardi, Davide | |
| 700 | 1 | |a Barricelli, Barbara Rita | |
| 700 | 1 | |a Fogli, Daniela | |
| 773 | 0 | |t Future Internet |g vol. 16, no. 6 (2024), p. 208 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3072320393/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3072320393/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3072320393/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |