Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances

Conference paper


Ramrecha, V., Bekaroo, G., Santokhee, A. and Juddoo, S. 2017. Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances. IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI). Port Louis, Mauritius 23 - 24 Nov 2017 IEEE. pp. 154-158 https://doi.org/10.1109/ISCMI.2017.8279617
TypeConference paper
TitleExploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances
AuthorsRamrecha, V., Bekaroo, G., Santokhee, A. and Juddoo, S.
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).

Keywordsnear-field communication; self-learning; energy consumption; household appliances; usability
ConferenceIEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI)
Page range154-158
Proceedings Title2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)
SeriesInternational Conference on Soft Computing & Machine Intelligence ISCMI
ISSN2640-0154
Electronic2640-0146
ISBN
Electronic9781538613146
Paperback9781538613153
PublisherIEEE
Publication dates
Print23 Nov 2017
Online05 Feb 2018
Publication process dates
Deposited26 May 2020
Accepted06 Aug 2017
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 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.

Digital Object Identifier (DOI)https://doi.org/10.1109/ISCMI.2017.8279617
Web of Science identifierWOS:000426527600031
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/8267452/proceeding
Related Output
Has metadatahttps://publons.com/wos-op/publon/20462682/
LanguageEnglish
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