Statistical Analysis of Trends in Electricity Consumption with Reference to Uttarakhand

Abstract

Electricity consumption indicates countries growth and development. The aim of the paper is to study the trend of per capita consumption of electricity in Uttarakhand during the years 2011 to 2019. The regression techniques with linear regression, quadratic regression and exponential regression were used to carry analysis and to examine trends between number of years and per capita consumption of electricity in kwh (kilowatt hours). The present study suggests the best fit model by comparing R square, adjusted R square and residual means square error (RMSE). The finding suggests that the quadratic regression model is the best fit model for per capita consumption of electricity with R square (coefficient of determination) of 0.95 for forecasting of electricity consumption per capita in Uttarakhand. This will support policy makers and related sectors in order to meet the growing demand of electricity consumption of Uttarakhand.