Systematic review of literature on electrical energy consumption forecast models

  • Agustín José Mazzeo Universidad de Medellín
  • Lina María Sepúlveda Cano Universidad de Medellín
  • Luisa Fernanda Villa Montoya Universidad de Medellín
  • Ricardo Alonso Gallego Burgos MVM Ingeniería de Software
Keywords: forecast, energy consumption, short term, long term, neural networks


The growing consumption of electrical energy, climate change and the development of new technologies demand improvements for efficient energy management. An adequate forecast of the energy consumption is relevant for the sustainable development of any country. This article proposes a systematic review of selected literature based on search chains formed by the terms forecasting, energy and consumption
applied to the scientific databases. In the article are compared mostly the models/ techniques used, the considered variables and the error metrics used for obtaining knowledge on each one of the proposals, relieve its features and thus highlight the void in the literature that might be determinant for new research work. As conclusions are made evident the continuous use of neural networks for forecasting the
energy consumption, the importance of determining the input variables and the error measuring for evaluating the precision of the models. Finally, the development of a model for the CEE short term forecast of a Latin-American developing country based on the comparison and evaluation of different  techniques/models, variables and already existing tools is proposed as a new line of research.

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  • Author Biographies

    Agustín José Mazzeo, Universidad de Medellín

    Ingeniero en Informatica (Escuela Técnica Superior del Ejército Argentino)

    Estudiante de Maestría en Ingeniería de Software (Universidad de Medellín)

    Consultor Líder de Analítica en MVM Ingeniería de Software S.A.S.

    Lina María Sepúlveda Cano, Universidad de Medellín

    Ingeniera Electrónica, Doctora en Ingeniería – Línea Automática.

    Docente tiempo completo en la Universidad de Medellín

    Grupo de Ingestigación Arkadius

    Luisa Fernanda Villa Montoya, Universidad de Medellín

    Ingeniera de Sistemas. Doctora en Procesos y Sistemas

    Docente tiempo Completo en Universidad de Medellín

    Grupo de Ingestigación Arkadius

    Ricardo Alonso Gallego Burgos, MVM Ingeniería de Software

    Magister en gestión tecnológica, Ingenierio de Sistemas

    Director de Innovación en MVM Ingeniería de Software S.A.S.

How to Cite
Mazzeo, A. J., Sepúlveda Cano, L. M., Villa Montoya, L. F., & Gallego Burgos, R. A. (2019). Systematic review of literature on electrical energy consumption forecast models. Revista Ingenierías Universidad De Medellín, 19(36), 107-142.


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