Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances
Ramrecha, Vishamlall, Bekaroo, Girish 
ORCID: https://orcid.org/0000-0003-1753-4300, Santokhee, Aditya and Juddoo, Suraj
(2017)
Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances.
Proceedings 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence.
In: 2017 IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI), 23-24 Nov 2017, Port Louis, Mauritius.
e-ISBN 9781538613146.
[Conference or Workshop Item]
(doi:10.1109/iscmi.2017.8279617)
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Abstract
During the past decade, the significant increase in the adoption of consumer electronics has caused a rise in energy demand within the residential and household sectors globally. Since these electronics are dependent on electricity, the impact of these sectors on the environment is also deteriorating and it becomes important to take remedial action. For this, various websites and mobile applications have emerged that provide information to household users on energy consumption of devices and as well as reduction mechanisms. However, since these platforms are limited in various ways in their endeavor to promote self-learning on energy consumption reduction, awareness still remains an important barrier thus giving rise to the need for further investigation on innovative technologies and platforms. Even though Near Field Communication (NFC) could potentially be used, limited work has been conducted in relation to energy consumption of consumer electronics. As such, this paper delves into the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances through an Android based application called NFC Energy Tracker (NET).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 29770 |
| Notes on copyright: | © 2017 IEEE. 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. |
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| Depositing User: | Girish Bekaroo |
| Date Deposited: | 26 May 2020 14:50 |
| Last Modified: | 29 Nov 2022 20:25 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/29770 |
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