Optimization of Power Usage in a Smart Nursing Home Environment

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 li...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2023-01, Vol.59 (1), p.38-46
Main Authors: Fong, Bernard, Fong, Alvis, Hong, Guan, Tsang, K. F.
Format: Article
Language:English
Subjects:
Air conditioning
Costs
Elderly care
Energy consumption
energy efficiency
Feature extraction
Medical services
Older adults
Optimization
Power consumption
Power demand
self-cognizant prognostics
smart buildings
Training
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Summary: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, with the aim of 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.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2022.3183957