Optimization of Power Usage in a Smart Nursing Home Environment

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

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Detail(s)

Original languageEnglish
Pages (from-to)38-46
Journal / PublicationIEEE Transactions on Industry Applications
Volume59
Issue number1
Online published17 Jun 2022
Publication statusPublished - Jan 2023

Abstract

This article presents a case study of using self-cognizant prognostics for the management of three key areas in a nursing home where a substantial proportion of power consumption is spent in a typical nursing home environment. Using a power-efficient monitoring system, our case study covers smart lighting, air conditioning and meal preparation; which is aimed at reducing the cost of operation through more efficient use of energy with smart and assistive technologies. The results show an overall enhancement of approximately 10% in energy efficiency while offering a safe environment for elderly patients in a smart nursing home. © 2022 IEEE.

Research Area(s)

  • Costs, Elderly care, energy efficiency, Feature extraction, Medical services, Older adults, Optimization, Power demand, self-cognizant prognostics, smart buildings, Training

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Optimization of Power Usage in a Smart Nursing Home Environment. / Fong, Bernard; Fong, Alvis; Hong, Guan et al.
In: IEEE Transactions on Industry Applications, Vol. 59, No. 1, 01.2023, p. 38-46.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review