Modelo para el pronóstico del precio de la energía eléctrica en Colombia

Abstract

This paper investigates the factors that determine electric power prices in the Colombian market. In addition, we carry out a long-run forecasting analysis to pool-traded electric power prices by using Vector Error Correction estimation and neuronal networks. Given the optimistic atmosphere that surrounds the Colombian economy for the coming years, our conclusion is that long-run electric power prices will exhibit an upward trend.

Keywords

• Price
• demand
• supply
• impulse response function
• vectors
• neuronal networks