Modelling Energy Consumption of the Republic of Serbia using Linear Regression and Artificial Neural Network Technique

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2019-02-01

Author

Protic, Milan
Fathurrahman, Fahman
Raos, Miomir

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The objectives of the study are twofold. First, we aim to examine the most influential socio-economic indicators to explain energy consumption in Republic of Serbia. The second objective is to develop models that are able to predict the future energy consumption in the Republic of Serbia. This could be the first important step towards proper energy management in the country. Several potential socio-economic indicators are selected to be the independent variables. Regression analysis is conducted to select the most relevant independent variables as well as building the multiple linear regression (MLR) models. In addition, an artificial neural networks (ANN) model is developed as a comparison. Finally, the energy demand is projected to the year 2022. It is found that both models show the declining trend with respect to the current level of energy consumption.

Subject Keywords

General Engineering

URI

https://hdl.handle.net/11511/67253

Journal

TEHNICKI VJESNIK-TECHNICAL GAZETTE

DOI

https://doi.org/10.17559/tv-20180219142019

Collections

Graduate School of Natural and Applied Sciences, Article

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Citation Formats

M. Protic, F. Fathurrahman, and M. Raos, “Modelling Energy Consumption of the Republic of Serbia using Linear Regression and Artificial Neural Network Technique,” TEHNICKI VJESNIK-TECHNICAL GAZETTE, pp. 135–141, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67253.