Forecasting time series. Short-term electrical power using fuzzy logic

Authors

  • Héctor Tabares Universidad de Antioquia
  • Jesús Hernández Universidad Nacional de Colombia

Keywords:

Fuzzy logic, daily electrical power curves

Abstract


In recent developments of fuzzy logic, the paradigm of universal proximity is very common. The fuzzy systems are estimates of a continuous function in a X group. The objective of this work is to find out a F(x) function with Fuzzy Logic (FL) that will allow to map out daily electrical power curves in a residential sector, in the city of Medellín. The variable input vector is the total electricity required for a 24 hour period (t).

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Author Biography

Héctor Tabares, Universidad de Antioquia

Departamento de Ingeniería Eléctrica, Facultad de Ingeniería

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Published

2013-12-04

How to Cite

Tabares, H., & Hernández, J. (2013). Forecasting time series. Short-term electrical power using fuzzy logic. Revista Facultad De Ingeniería Universidad De Antioquia, (47), 209–217. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/17784