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Predictive Model on Interest to Own Smart Meter

S. R. Mohd Nasir 1, A. Ibrahim 1, S. L. S. Garieb 2, and A. Mohd Busrah 2
1. Faculty of Civil Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Malaysia
2. Tenaga Nasional Berhad Research Sdn Bhd, Tenaga Nasional Berhad, 43000 Kajang, Malaysia
Abstract—Smart meter is an enhanced energy meter that computes the energy consumption of a consumer, and delivers added information to the utility company compared to a conventional energy meter. The objective of this paper is to determine the interest level of owning smart meter amongst the Tenaga Nasional Berhad (TNB) customers in the area of Melaka, Malaysia. Questionnaire Survey method was adopted in this study and 440 numbers of question-naires were successfully collected. The questionnaire survey was conducted using face-to-face method. The survey was conducted during pre-installation of smart meter phases in order to determine the customers’ level of interest to own smart meters. The findings shows that the majority of the customers were convinced that their personal data will be well protected, hence increasing their acceptance level to own smart meter. However, a minority of customers have expressed their concerns on privacy issues in the smart meter system. This study shows that TNB customers in Melaka, regardless of demographic profiles and background, overall have good awareness on smart living concept which was reflected in their positive feedbacks towards smart meters. The findings of this study can be inferred to similar residential and commercial areas. In general, it provides some insights on the attitude, perceptions and acceptance levels of Malaysian users towards smart metering.
Index Terms—Acceptance level, customers, predictive model, smart meter

Cite: S. R. Mohd Nasir, A. Ibrahim, S. L. S. Garieb, and A. Mohd Busrah, "Predictive Model on Interest to Own Smart Meter," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 9, No. 3, pp. 171-176, May 2020. Doi: 10.18178/ijeetc.9.3.171-176

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