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Start Over Descriptor "SMART meters" Region malaysia
2 results on '"SMART meters"'

1. Urban households in Malaysia: Characteristics of electrical energy use and attitudes.

Author

Wilson, Wong, Pauzi, Nurul Noraziemah Mohd, Shah, Mohamad Shazwan Ahmad, and Hadibarata, Tony

Subjects
*ENERGY consumption, *ELECTRICAL energy, *SMART meters, *ENERGY conservation, *INCOME, *DEMOGRAPHIC surveys
Abstract

Energy consumption in Malaysia has increased considerably as the economy and culture have developed, with an increase of roughly 154 percent in fourteen years and a significant increase from 2019 to 2021. The majority of relevant research focuses on building textiles and household appliances, with little attention paid to inhabitants' energy use attitudes toward energy conservation. As a result, the goal of this research is to look into domestic energy use in Malaysia through a survey that focuses on the characteristics of energy use in urban households, demographics and building information, occupant behavior in cooling occupancy patterns, attitudes toward smart meters, and energy-saving policies. According to the findings of the survey, the ultimate energy consumption in Malaysia is influenced by family annual income. According to this study, high electrical energy users are more likely to have a higher family annual income and use their heating and cooling systems for longer periods of time. Furthermore, it was shown that smart meter acceptability in Malaysia is low because the majority of respondents are unaware of the possibilities of smart meters, implying that an awareness campaign is required if the government wishes to implement the use of smart meters. [ABSTRACT FROM AUTHOR]

Published
2023
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2. A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective.

Author

Alkawsi, Gamal Abdulnaser, Ali, Norashikin, Mustafa, Abdulsalam Salihu, Baashar, Yahia, Alhussian, Hitham, Alkahtani, Ammar, Tiong, Sieh Kiong, and Ekanayake, Janaka

Subjects
SMART meters, ARTIFICIAL neural networks, PSYCHOLOGICAL feedback, STRUCTURAL equation modeling, POWER resources, INTERNET of things
Abstract

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 profound implications on storage, sale, and distribution of electrical power supply. A few of the existing literature review identified the challenges of primary consumer adoption in terms of privacy, eco-efficient feedback, and technology awareness. Provided that these factors were investigated without theoretical association, this study examined the barriers to the adoption of IoT-based smart meters technology by developing a model representing the users' intention to adopt smart meters by drawing on the variables of the extended Unified Theory of Acceptance And Use of Technology (UTAUT2). Data were collected from 318 users of smart meter from two cities in Malaysia, while the model was validated using a multi-analytic approach using Structural Equation Modelling (SEM), and the results from SEM were used as inputs for a neural network model to predict acceptance factors. As a result, it was found that technology awareness and eco-effective feedback were the important determinants with a positive impact on the adoption of smart meter technology, while privacy concerns led to an adverse impact. Overall, these study findings contribute useful insights and implications for users, utilities; regulators, and policymakers. [ABSTRACT FROM AUTHOR]

Published
2021
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