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...
| Main Authors: | Alkawsi, G.A., Ali, N., Mustafa, A.S., Baashar, Y., Alhussian, H., Alkahtani, A., Tiong, S.K., Ekanayake, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23798 / |
| Published: |
Elsevier B.V.
2021
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| 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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