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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/15504

タイトル: Predictive thermal comfort control for cyber-physical home systems
著者: En, Ooi Sian
Yoshiki, Makino
Lim, Yuto
Tan, Yasuo
キーワード: Mathematical Model
Smart Homes
Heating Systems
Actuators and Sensors
Temperature Control
発行日: 2018-07
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: 2018 13th Annual Conference on System of Systems Engineering (SoSE)
開始ページ: 444
終了ページ: 451
DOI: 10.1109/SYSOSE.2018.8428734
抄録: With the emergence of Internet of Things (IoT) and smart homes, the demand for energy efficient thermal comfort has also increased significantly to address the importance of quality of life (QoL) in a modern society. In this paper, we present a model predictive control (MPC) based thermal comfort controller for cyber-physical home systems (CPHS). The MPC controller is integrated into the existing Energy Efficient Thermal Comfort Control (EETCC) system that was developed for the experimental smart house, iHouse. The advantages of MPC was explored in a real time manner for reference tracking and energy minimization scenarios. Besides, Predicted Mean Vote (PMV) index is also adopted into the MPC controller to further enhance the energy efficiency and thermal comfort of the CPHS. The proposed methods are evaluated and verified under various seasons in a CPHS simulation using raw environmental data from the iHouse.
Rights: This is the author's version of the work. Copyright (C) 2018 IEEE. 2018 13th Annual Conference on System of Systems Engineering (SoSE), 2018, 444-451. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/15504
資料タイプ: author
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)


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