Browse by author
Lookup NU author(s): Dr Anurag Sharma
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 by the authors. In the pursuit of instigating a progressive transition towards a more sustainable future, policy officials all over the world are fervently advocating the use of energy conservation techniques targeted at residential customers. Keeping this in mind, a quantitative study was conducted in this work using the data from Singapore, which aims to investigate the relationships between a resident’s pattern of energy utilisation and numerous demographic parameters as well as personality attributes. Moreover, the study was conducted with existing machine learning and data analytics approaches, including k-prototype unsupervised learning and statistical hypothesis tests. The obtained results denote a persuasive correlation between the consumption behaviour of the consumer for different appliances and factors such as income, energy knowledge, usage frequency, personality, etc. For instance, there is a higher probability of a consumer acting frugally and sparingly if they believe their energy consumption is insignificant. These findings can help policymakers identify the appropriate target populations for raising energy awareness in Singapore.
Author(s): Chew J, Sharma A, Kumar DS, Zhang W, Anant N, Dong J
Publication type: Article
Publication status: Published
Journal: Sustainability
Year: 2024
Volume: 16
Issue: 14
Online publication date: 10/07/2024
Acceptance date: 01/07/2024
Date deposited: 12/08/2024
ISSN (electronic): 2071-1050
Publisher: MDPI
URL: https://doi.org/10.3390/su16145881
DOI: 10.3390/su16145881
Data Access Statement: Data is not publicly available, though the data may be made available on request from the corresponding author.
Altmetrics provided by Altmetric
