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The Use of Regression Method on Simple E for Estimating Electrical Energy Consumption

Arnawan Hasibuan, Widyana Verawaty Siregar, Muzamir Isa, Eddy Warman, Roby Finata, Mursalin

2022HighTech and Innovation Journal25 citationsDOIOpen Access PDF

Abstract

The continuous increase in population growth has an impact on the electrical energy supply. Based on this increase, electric power producers serve customers using proper forecasts. Therefore, it is a necessity to select the right calculation method with easy implementation. In this study, the population forecasts and economic growth calculations using the GT (Growth Trend) regression method development on Simple E were obtained for the year 2028. Furthermore, electricity consumption estimation was carried out using the DL (Double Log) regression method with growth trend, R, AR, DW, and t values of 6.63%, 0.993, 0.992, 1.21, and 2.18, respectively. The results show that estimated energy consumption was 6.63% annually, with the achievable amount for 2028 being 19,839.83 GWh. Doi: 10.28991/HIJ-SP2022-03-06 Full Text: PDF

Topics & Concepts

Regression analysisSimple linear regressionConsumption (sociology)RegressionElectricityElectric powerEnergy consumptionStatisticsPopulation growthPopulationEstimationEconometricsLinear regressionSimple (philosophy)Electric potential energyEnergy (signal processing)Environmental sciencePower consumptionPower (physics)MathematicsEconomicsElectrical engineeringEngineeringMedicineEnvironmental healthPhysicsSociologyPhilosophySocial scienceManagementQuantum mechanicsEpistemologyEnergy Load and Power Forecasting
The Use of Regression Method on Simple E for Estimating Electrical Energy Consumption | Litcius