Statistical Analysis for Factors Influencing Electricity Consumption at Regional Level

Abstract

A regional analysis of factors influencing electricity consumption is performed using panel dataset. It was identified that climate factors and an economic factor of hotel occupancy could be used to characterise the regional monthly electricity consumption. This study selects Jakarta, Indonesia as the case study, covering the monthly time period from 2006-2012. Multiple linear regression approach is applied to analyse the association between the continues variables. The computation and visualisation is executed in R. One of the explanatory variables, namely hotel room occupancy, is interesting to be analysed in this case because the case study is the capital of the country. Many national events are being held centrally in Jakarta. In practice, limited studies have used this variable to model electricity consumption. The finding shows that the simplest model is conducted by excluding the variable day of rain and variable rainfall that slightly contribute to the model. The result identifies that the relationship between electricity consumption and hotel occupancy is statistically significant, as well as the relationship between electricity consumption and temperature.