A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective

A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective

A large part of the Internet of Things (IoT)-based smart meters is considered a method to achieve energy efficiency, sustainable development, and the potential of improving the quality, reliability, and efficiency of power supply. These outcomes indicate the importance of the inherent capacity for p...

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Bibliographic Details
Main Authors: Alkawsi, G.A., Ali, N., Mustafa, A.S., Baashar, Y., Alhussian, H., Alkahtani, A., Tiong, S.K., Ekanayake, J.
Format: Article
Published: Elsevier B.V. 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087868882&doi=10.1016%2fj.aej.2020.07.002&partnerID=40&md5=b986a786f363a6ef5975687942b57d40
http://eprints.utp.edu.my/23798/
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Institution: Universiti Teknologi Petronas

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087868882&doi=10.1016%2fj.aej.2020.07.002&partnerID=40&md5=b986a786f363a6ef5975687942b57d40
http://eprints.utp.edu.my/23798/

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