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Computational Research Progress in Applied Science and Engineering
CRPASE 2016, 2(3), 110-115
Prediction of Energy Consumption by Using Regression Model
Department of Renewable Energy and Environment, Faculty of New Sciences and Technologies, University of Tehran
ABSTRACT
Energy crisis is one of the problems that lead to different changes for countries. Increasing this matter in different countries has made them substitute alternative and renewable energies instead of other resources. Which in turn has brought about development that contributes to sustainability In this work, we analyzed the energy supply and demand in Germany for describing energy consumption in each sector. Considering the energy balance sheet data, the correlation between energy consumption and some basic parameters such as GDP, population growth, and industrial growth rate is analyzed through a regression model. Regarding the model, energy consumption in 2022 is predicted as 209018.1 Mtoe. According to the model, a significant decrease in energy consumption is obtained which is the consequence of renewable energy use in each sector.