Forecasting of critical points of the temporary series “electrical power consumption of the industrial sector in Medellín city”, using genetic algorithms

Abstract

The Genetic Algorithms (GA) are inspired by the Darwin’s principle of the evolution of the species and the genetic. They are probabilistic algorithms that offer an adaptative and parallel search mechanism, based on the principle of survival of the most capable and in the reproduction. This article presents an introduction to the foundations of the GA. Also we show the software simulator AG_UdeA developed with a didactic purpose for the teaching of the GA. The main contribution consists on the application of the GA to predict the critical points for electrical power consumption in the industrial sector in Medellín city for a period of 24 hours.

Keywords

• genetic algorithms
• artificial neural networks