Nor Erne Nazira Bazin
Universiti Teknologi Malaysia

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Journal : International Journal of Electrical and Computer Engineering

Adjusting ICT Capacity Planning by Minimizing Cyber Crime Effects in Urban Area: A System Dynamics Approach Feldiansyah Bin Bakri Nasution; Nor Erne Nazira Bazin
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 5: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (153.71 KB)

Abstract

In doing the ICT capacity planning, most organizations or institutions ignore unconsciously other conditions except statistical data of bandwidth or utilization of ICT products. On this occasion, the ICT capacity planning is analyzed by using system dynamics with considering some factors or components which are combinations between technical and non technical things such as: business, education, ICT infrastructure, ICT usage and cyber crime. Simulation of interrelationship between the components is conducted to understand the behavior of the system. System dynamics gives us an input about correction of the statistical data by minimizing cyber crime effects. In this paper, it is also introduced the system breakdown structure (SBS), a technique to breakdown a big and complex system into smaller and manageable components. The objective of this SBS is to make system dynamics more expandable in hierarchy way in analyzing a system.DOI:http://dx.doi.org/10.11591/ijece.v4i5.6854
Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics Norlee Husnafeza Ahmad; Nofri Yenita Dahlan; Nor Erne Nazira Bazin; Yusrina Yusof; Arni Munira Markom
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i2.pp1231-1240

Abstract

In the context of a single buyer (SB) electricity market, this study provides an electricity tariff model developed using system dynamics (SD). Using data from the Malaysian electricity supply industry (MESI), the model was developed with the intent of evaluating the influence of load variation on Malaysia’s base electricity tariff. Given that Malaysia’s electricity demand has increased significantly over the past few years in unison with the country’s economic growth and modernization, this model is developed to investigate the relationship between the two. Moreover, the lack of a comprehensive MESI upstream market model that can monitor this issue was the impetus for this research. This study employed an SD approach, as it is a well-known technique for simulating complex systems and analyzing the existing dynamism between each variable and each system. This model can be a valuable tool for developing an electrical tariff model. Findings revealed that the base electricity pricing on the MESI upstream market is affected by load growth variation during the 30-year time. Since new power sources are needed to meet demand, the tariff becomes more expensive as the load increases. This model may benefit the utility or generating company plan for future generation.