Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243788 
Year of Publication: 
2020
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 6 [Issue:] 1 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2020 [Pages:] 561-566
Publisher: 
Elsevier, Amsterdam
Abstract: 
This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm economic regression. The article was developed based on the six socio-economic strata in Bogotá City. The second model is shown to be superior to the multiple linear regression model with a climatic approach and the econometric model of double logarithm in terms of precision in the calculation of the electric energy demand, as evidenced in the model evaluation tools used, such as the coefficient of determination, with values higher than 0.9 except in stratum 5.
Subjects: 
Energy demand
Forecasting
Multiple linear regressions
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
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