Simplified hydrological models for the simulation and analysis of the Colombian electricity market
DOI:
https://doi.org/10.18687/LACCEI2026.1.1.2025Palabras clave:
Modeling, energy data science, water resources, colombian energy marketResumen
Three lumped models of hydrological behaviour relevant to analysing the energy market in Colombia have been developed. The variables modelled are water inflows, the reference path and expectations of future water inflows. To demonstrate the effectiveness of these models, the performance of a neural network-based model is presented, which successfully predicts the average bid price of hydroelectric power with 99% accuracy
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2026-07-27
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Derechos de autor 2026 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Duarte Velasco, O. G., & Olaya Escobar, E. S. (2026). Simplified hydrological models for the simulation and analysis of the Colombian electricity market. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.2025