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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Md. Tanjil Mostafa Rubel
Bangladesh University of Professionals (BUP)
Computer Science & IT

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Time series analysis of electric energy consumption using autoregressive integrated moving average model and Holt Winters model Nahid Ferdous Aurna; Md. Tanjil Mostafa Rubel; Tanveer Ahmed Siddiqui; Tajbia Karim; Sabrina Saika; Md. Murshedul Arifeen; Tasmima Noushiba Mahbub; S. M. Salim Reza; Habibul Kabir
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 3: June 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i3.15303

Abstract

With the increasing demand of energy, the energy production is not that much sufficient and that’s why it has become an important issue to make accurate prediction of energy consumption for efficient management of energy. Hence appropriate demand side forecasting has a great economical worth. Objective of our paper is to render representations of a suitable time series forecasting model using autoregressive integrated moving average (ARIMA) and Holt Winters model for the energy consumption of Ohio/Kentucky and also predict the accuracy considering different periods (daily, weekly, monthly). We apply these two models and observe that Holt Winters model outperforms ARIMA model in each (daily, weekly and monthly observations) of the cases. We also make a comparison among few other existing analyses of time series forecasting and find out that the mean absolute percentage error (MASE) of Holt Winters model is least considering the monthly data.
Co-Authors Habibul Kabir Md. Murshedul Arifeen Nahid Ferdous Aurna S. M. Salim Reza Sabrina Saika Tajbia Karim Tanveer Ahmed Siddiqui Tasmima Noushiba Mahbub