A model for forecasting electricity prices in Colombia

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

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Year of publication:	2012
Authors:	Barrientos, Jorge ; Rodas, Edwin ; Velilla, Esteban ; Lopera, Mauricio ; Villada, Fernando
Published in:	Lecturas de Economía. - Departamento de Economía, ISSN 0120-2596. - 2012, 77, p. 91-127
Publisher:	Departamento de Economía
Subject:	price \| demand \| supply \| impulse response function \| vectors \| neuronal networks

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Extent:	application/pdf
Type of publication:	Article
Classification:	C22 - Time-Series Models ; c26 ; C45 - Neural Networks and Related Topics ; D43 - Oligopoly and Other Forms of Market Imperfection ; L94 - Electric Utilities
Source:	RePEc - Research Papers in Economics

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