Open AccessNovel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand‐side management
Author(s) -
Lin YuHsiu
Publication year - 2019
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12014
Subject(s) - analytics , cloud computing , home automation , computer science , enhanced data rates for gsm evolution , edge computing , energy management system , energy consumption , energy management , architecture , embedded system , computer security , telecommunications , data science , engineering , energy (signal processing) , operating system , electrical engineering , art , visual arts , statistics , mathematics
Summary Demand‐side management (DSM), as an energy audit, has the potential to reduce electricity costs and the carbon emission associated with the electrical energy used in modern society. With the high penetration rate of the Internet of things (IoT) paradigm in domestic environments, IoT‐oriented smart homes can skillfully control energy consumption of monitored domestic electrical home appliances and all other features related to domestic environments for home automation, home energy management/DSM, and home health care. While many of today's IoT devices take advantage of cloud‐centered analytics, IoT manufacturers and application developers are devoting themselves to empowering IoT devices to store sensed data and perform data processing via edge analytics at the edge of the Internet. In contrast to cloud‐centered analytics where (1) network connectivity is not always available or is limited and (2) real‐time responsiveness cannot be guaranteed, edge analytics (1) moves cloud‐centered analytics to IoT end devices and (2) guarantees real‐time responsiveness for local actionable insights. In this paper, a novel smart home system architecture that considers edge analytics capabilities is proposed. Additionally, an embedded flexible edge‐sensing device prototype for monitoring and remotely controlling electrical home appliances for home energy management/DSM is designed and implemented in the architecture. Energy efficiency is one of the central issues in smart homes. In this paper, a case study of autolabeling monitored electrical home appliances as smart home energy management is presented and used to experimentally validate the feasibility and efficiency of the proposed novel smart home system architecture facilitated with on‐site distributed and embedded flexible edge‐sensing devices.