TY  - JOUR
T1  - Evaluation of Electricity Consumption in Turkey via Cubic Regression Analysis and One Way Anova Test
AU  - Guler, Ezgi
AU  - Yerel-kandemır, Suheyla
PY  - 2022
DA  - December
DO  - 10.55549/epstem.1224036
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 11
EP  - 17
VL  - 21
LA  - en
AB  - In the globalizing world, the importance of energy is increasing day by day. Countries can makeinvestment 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, AgriculturalIrrigation, Street Lighting) in Turkey were analyzed with statistical techniques. Using the sectoral data between2000 and 2020, the consumption data for the next 5 years was estimated via Cubic Regression Analysis. Thesuccess of the Cubic Regression models was evaluated with the success criteria of MAPE (Mean AbsolutePercent 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. Itwas investigated whether there was a significant difference between the averages of the sector groups, thesuitability of variance was examined and the Tamhane T2 test, one of the Pairwise Comparison Tests (PostHoc), was used. As a result, in this study, electricity consumption data was analyzed with different statisticaltechniques, and information was produced for both current and future periods.
KW  - Cubic regression analysis
KW  - Electricity consumption
KW  - Forecasting
UR  - https://doi.org/10.55549/epstem.1224036
L1  - https://dergipark.org.tr/en/download/article-file/2851587
ER  -