Proper

Abstract

This work deals with forecasting, modelling, and comparison of Korea’s Electric power energy consumption data depends on socio-economic and demographic variables (gross domestic product – GDP, gross national income – GNI, Population – PP) using linear regression and artificial neural network(ANN). The main purpose of this research is to predict the accuracy of energy consumption neither over estimation nor underestimation. In this analysis correlated socio economic and demographic variables (GDP, GNI, & Population) with energy consumption, and then created three different models which include a different combination of variables. Finally, we analyzed the best model for energy consumption and also best forecasting techniques discussed in result and conclusion.