摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑发表了关于人工智能的新研究结果。根据来自意大利布雷西亚的新闻，B y NewsRx记者的研究称，“多年来，人们一直在建议最终用户开发，以允许最终用户控制和管理基于GS的瘦互联网环境，如智能家居。”这项研究的财政支持者包括意大利Mur Prin 2022 Pnrr；欧洲联盟-下一代欧盟。新闻编辑们从布雷西亚大学的研究中获得了一句话：“随着最终用户的发展，最终用户能够创建触发操作规则或例行程序来定制他们智能家居的行为。”到目前为止，所提出的科学研究还没有包括从能耗角度评估用户创建的程序是否合适的方法。本文提出使用机器学习来构建一个智能家庭的数字孪生，可以预测智能电器的能耗。
Abstract
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.”
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