首页|Findings from University of Brescia Provide New Insights into Machine Learning ( Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management)
Findings from University of Brescia Provide New Insights into Machine Learning ( Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Brescia, Italy, b y NewsRx correspondents, research stated, “End-User Development has been propose d over the years to allow end users to control and manage their Internet of Thin gs-based environments, such as smart homes.” Financial supporters for this research include Italian Mur Prin 2022 Pnrr; Europ ean Union-next Generation Eu. The news editors obtained a quote from the research from University of Brescia: “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 r esearch proposed to date does not encompass methods that evaluate the suitabilit y of user-created routines in terms of energy consumption. This paper proposes u sing Machine Learning to build a Digital Twin of a smart home that can predict t he energy consumption of smart appliances.”
University of BresciaBresciaItalyE uropeCyborgsEmerging TechnologiesMachine Learning
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