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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jes s Garcia-Guiliany & Emiro De-la-hoz-Franco & Andr s-David Rodr guez-Toscano & Juan-David De-la-Hoz-Hern ndez & Hugo G. Hern ndez-Palma, 2020. "Multiple Linear Regression Model Applied to the Projection of Electricity Demand in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 419-422.
    • Handle: RePEc:eco:journ2:2020-01-53
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    References listed on IDEAS

    as
    1. Natalia Fabra & Mar Reguant, 2014. "Pass-Through of Emissions Costs in Electricity Markets," American Economic Review, American Economic Association, vol. 104(9), pages 2872-2899, September.
    2. Pukšec, Tomislav & Mathiesen, Brian Vad & Novosel, Tomislav & Duić, Neven, 2014. "Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia," Energy, Elsevier, vol. 76(C), pages 198-209.
    3. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
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    More about this item

    Keywords

    Energy Consumption; Electric Demand; Multiple Linear Regression Model.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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