Simplified hydrological models for the simulation and analysis of the Colombian electricity market

Authors

  • Oscar Germán Duarte Velasco Universidad Nacional de Colombia - (CO), Colombia
  • Erika Sofía Olaya Escobar Escuela Colombiana De Ingeniería “Julio Garavito” - (CO)

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.2025

Keywords:

Modeling, energy data science, water resources, colombian energy market

Abstract

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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Published

2026-07-27

Issue

Vol. 1 No. 14 (2026): LACCEI 2026

Section

Articles

Copyright

Copyright (c) 2026 LACCEI

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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How to Cite

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