@article{article_1224036, title={Evaluation of Electricity Consumption in Turkey via Cubic Regression Analysis and One Way Anova Test}, journal={The Eurasia Proceedings of Science Technology Engineering and Mathematics}, volume={21}, pages={11–17}, year={2022}, DOI={10.55549/epstem.1224036}, author={Guler, Ezgi and Yerel-kandemır, Suheyla}, keywords={Cubic regression analysis, Electricity consumption, Forecasting}, abstract={In the globalizing world, the importance of energy is increasing day by day. Countries can make
investment plans within the analysis of production and consumption data for electrical energy. In this study,
sectoral electricity consumption data (State Agency, Industrial Enterprise, Business, Residence, Agricultural
Irrigation, Street Lighting) in Turkey were analyzed with statistical techniques. Using the sectoral data between
2000 and 2020, the consumption data for the next 5 years was estimated via Cubic Regression Analysis. The
success of the Cubic Regression models was evaluated with the success criteria of MAPE (Mean Absolute
Percent Error), RMSE (Square Root Mean Errors), and R2 (Coefficient of Determination). In addition, the OneWay ANOVA technique was used in the study to make sector comparisons for electricity consumption data. It
was investigated whether there was a significant difference between the averages of the sector groups, the
suitability of variance was examined and the Tamhane T2 test, one of the Pairwise Comparison Tests (Post
Hoc), was used. As a result, in this study, electricity consumption data was analyzed with different statistical
techniques, and information was produced for both current and future periods.}, publisher={ISRES Publishing}