Statistical Analysis for Factors Influencing Electricity Consumption at Regional Level

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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.

Original languageEnglish
Title of host publication2018 IEEE 7th International Conference on Power and Energy (PECon)
Number of pages6
PublisherIEEE
Publication date2019
Pages132-137
Article number8684037
ISBN (Electronic)9781538654316
DOIs
Publication statusPublished - 2019
Event7th IEEE International Conference on Power and Energy - Kuala Lumpur, Malaysia
Duration: 3 Dec 20184 Dec 2018

Conference

Conference7th IEEE International Conference on Power and Energy
CountryMalaysia
CityKuala Lumpur
Period03/12/201804/12/2018

Keywords

  • Electricity consumption
  • modelling
  • multiple linear regression
  • statistical analysis

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