Multiple linear regression model applied to the projection of electricity demand in Colombia
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Fecha
2020
Autores
Garcia-Guiliany, Jesús
De-la-hoz-Franco, Emiro
Rodríguez-Toscano, Andrés-David
De-la-Hoz-Hernández, Juan-David
Hernandez-Palma, Hugo G.
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Editor
EconJournals
Resumen
The exigencies as soon as to competitiveness and productivity have influenced in the energetic consumption and the demand of electrical energy in Colombia, reason why at the present time it is of much interest and utility to have access to tools or valid models to reach greater knowledge in which related to the possible future projections. Next, the results of a quantitative study are presented that through the analysis of data collected between 2007 and 2017 that made possible the construction of a multiple linear regression model to estimate the demand of electric energy. These types of instruments currently originate as alternatives to promote management strategies in the energy field in the country. The final results allow to visualize an estimated figure for the next periods which will serve to contrast with the official results and to generate from this information possible lines of intervention in different organisms.
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Palabras clave
Energy consumption, Electric demand, Multiple linear regression model