Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the current environmental problems, and the global lack of utilizing energy-saving technologies. Not to mention, within some regions, COVID-19 social distancing measures have led to a temporary transfer of energy demand from commercial and urban centers to residential areas, causing an increased use and higher charges, and in turn, creating economic impacts on customers. Therefore, the marketplace could benefit from developing an internet of things (IoT) ecosystem that monitors energy consumption habits and promptly recommends action to facilitate energy efficiency. This paper aims to present the full integration of a proposed energy efficiency framework into the Home-Assistant platform using an edge-based architecture. End-users can visualize their consumption patterns as well as ambient environmental data using the Home-Assistant user interface. More notably, explainable energy-saving recommendations are delivered to end-users in the form of notifications via the mobile application to facilitate habit change. In this context, to the best of the authors' knowledge, this is the first attempt to develop and implement an energy-saving recommender system on edge devices. Thus, ensuring better privacy preservation since data are processed locally on the edge, without the need to transmit them to remote servers, as is the case with cloudlet platforms.
翻译:维护家庭和办公建筑的能源是一项重大挑战,主要原因是最近能源资源短缺,当前环境问题的爆发,以及全球缺乏节能技术。更不用提的是,在一些地区,COVID-19社会分化措施导致能源需求从商业和城市中心临时转移到住宅区,导致使用量增加和收费增加,进而对客户产生经济影响。因此,市场可受益于开发一个物联网(IoT)生态系统,以监测能源消费习惯并迅速建议促进能源效率的行动。本文件的目的是利用边缘建筑将拟议的节能框架充分纳入家庭助理平台。终端用户可以利用家庭助理用户界面来想象其消费模式以及环境数据。更明显的是,通过移动应用程序向终端用户提供可解释的节能建议,以便利改变习惯。在这方面,根据作者的最佳了解,这是首次尝试在边端设备上开发和实施节能建议系统。因此,终端用户可以利用家助理用户用户用户用户用户界面界面的界面来预测其消费模式以及周围环境数据。更为明显的是,通过移动应用程序向终端用户提供可解释的节能建议。根据作者的知识,这是首次尝试在边端设备上开发和实施节能建议系统。因此,确保将节能服务器上更好的保密数据在不经过处理后,以当地处理。