ARIMA with Regression Model in Modelling Electricity Load Demand

Authors

  • Nor Hamizah Miswan Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. Applied Mathematics Research Group, Advance Manufacturing Centre, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia.
  • Rahaini Mohd Said Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. Applied Mathematics Research Group, Advance Manufacturing Centre, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia.
  • Siti Haryanti Hairol Anuar Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. Optimisation, Modelling, Analysis, Simulation and Scheduling (OptiMASS), Centre of Advance Computing Technology (C-ACT), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia

Keywords:

ARIMA, ARIMA with Regression, Load Demand, Regression

Abstract

Electricity is among the most crucial needs for every people in this world. It is defined by the set of physical phenomena related with the flow of electrical charge. The importance of electricity itself leads to the increasing electricity load demand in the world including Malaysia. The purpose of the current study is to evaluate the performance of combined ARIMA with Regression model in forecasting electricity load demand in Johor Bahru. Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) and Regression models will be used as benchmark models since the model has been proven in many forecasting context. Using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) as a forecasting accuracy criteria, the study concludes that the combined method is more appropriate model.

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Published

2016-12-01

How to Cite

Miswan, N. H., Mohd Said, R., & Hairol Anuar, S. H. (2016). ARIMA with Regression Model in Modelling Electricity Load Demand. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(12), 113–116. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1445

Issue

Vol. 8 No. 12: Innovative Solutions for Engineering and Technology Challenges

Section

Articles

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