Multiple Linear Regression Model Applied to the Projection of Electricity Demand in Colombia

Jes s Garcia-Guiliany, Emiro De-la-hoz-Franco, Andr s-David Rodr guez-Toscano, Juan-David De-la-Hoz-Hern ndez and Hugo G. Hern ndez-Palma
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Jes s Garcia-Guiliany: School of Business Administration, Universidad Sim n Bol var, Barranquilla, Colombia,
Emiro De-la-hoz-Franco: Department Software Engineering and Networks, Universidad de la Costa - CUC, Barranquilla, Colombia,
Andr s-David Rodr guez-Toscano: Department of Energy, Universidad de la Costa, Barranquilla, Colombia,
Juan-David De-la-Hoz-Hern ndez: Department Software Engineering and Networks, Corporaci n Universitaria Latinoamericana, Barranquilla, Colombia,
Hugo G. Hern ndez-Palma: School of Business Administration, Universidad del Atl ntico, Barranquilla, Colombia

International Journal of Energy Economics and Policy, 2020, vol. 10, issue 1, 419-422

Abstract: 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.

Keywords: Energy Consumption; Electric Demand; Multiple Linear Regression Model. (search for similar items in EconPapers)
JEL-codes: D24 M31 Q43 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eco:journ2:2020-01-53

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