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Herramienta de software para el pronóstico de demanda horaria de potencia eléctrica en el sistema eléctrico de codensa S.A. ESP

Author(s): Gonzalo Arturo Gómez | Juan Carlos Carreño | Juan Zambrano Caviedes

Journal: Tecnura
ISSN 0123-921X

Volume: 15;
Issue: 28;
Start page: 7;
Date: 2011;
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Keywords: Power quality | Demand for energy | Forecast | Time Series

In pursuit of improving and optimizing the energetic resources of its electric power system, the country, in its regulatory framework, has set the need of diagnosing hourly energy and power demand. This paper presents a dynamic model to forecast the hourly demand in the short term, and logical support will be developed in order to obtain an approximate 2% error reduction in comparison with CODENSA’s present model to diagnose demand.
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