Generación de Árboles de Escenarios en forma Analítica, para Modelar Recursos Energéticos Renovables

R.  Barreto

doi:10.37116/revistaenergia.v13.n1.2017.22

Generación de Árboles de Escenarios en forma Analítica, para Modelar Recursos Energéticos Renovables

Generación de Árboles de Escenarios en forma Analítica, para Modelar Recursos Energéticos Renovables

Published 2017-01-31

https://doi.org/10.37116/revistaenergia.v13.n1.2017.22

Open | Download

PDF (Spanish) FLIP

Issue

Vol. 13 No. 1 (2017): Revista Técnica "energía", Edición No. 13

Section

EFICIENCIA ENERGÉTICA

How to Cite

Generación de Árboles de Escenarios en forma Analítica, para Modelar Recursos Energéticos Renovables. (2017). Revista Técnica "energía", 13(1), PP. 196-205. https://doi.org/10.37116/revistaenergia.v13.n1.2017.22

DOI

https://doi.org/10.37116/revistaenergia.v13.n1.2017.22

Dimensions

PlumX

How to Cite

Generación de Árboles de Escenarios en forma Analítica, para Modelar Recursos Energéticos Renovables. (2017). Revista Técnica "energía", 13(1), PP. 196-205. https://doi.org/10.37116/revistaenergia.v13.n1.2017.22

Download Citation

license

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

R. Barreto

Show authors biography

Similar Articles

Gabriel Guañuna, Graciela Colomé, Estefanía Tapia, Short-Term Stability State Prediction in Power Systems with Renewable Generation Integration Using Deep Learning , Revista Técnica "energía": Vol. 22 No. 2 (2026): Revista Técnica "energía", Edición No. 22 ISSUE II
Diego Lojano, Juan Palacios, Optimal Power Flow in Electrical Power Systems with Environmental Considerations , Revista Técnica "energía": Vol. 21 No. 2 (2025): Revista Técnica "energía", Edición No. 21, ISSUE II
Paulo Castro, Jaime Cepeda, Impact Analysis of Non-Dispatchable Renewable Energies Penetration in Power System Operational Security , Revista Técnica "energía": Vol. 22 No. 1 (2025): Revista Técnica "energía", Edición No. 22, ISSUE I
Carlos Lozada, David Panchi, Wilson Sánchez, Andrés Jacho, Linear Regression for the Identification of the Maximum Power Point in Hybrid Microgrids Implemented in HYPERSIM , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
Wilson Brito, Wilson Sánchez, Performance Evaluation of LSTM and XGBoost Models for Electric Demand Forecasting in the Ecuadorian Power System , Revista Técnica "energía": Vol. 22 No. 2 (2026): Revista Técnica "energía", Edición No. 22 ISSUE II
Wilson Sánchez, Diego Echeverría, Santiago Chamba, Andrés Jacho, Carlos Lozada, Economic Energy Dispatch of the Micro-Grid in the Galapagos Islands Using the Simsee Platform , Revista Técnica "energía": Vol. 21 No. 1 (2024): Revista Técnica "energía", Edición No. 21, ISSUE I
Alex Villamarín, Angie Bravo, Ariel Chancusig, Contribution of Battery Energy Storage in the Ecuadorian Power System to Optimize Its Economic Dispatch , Revista Técnica "energía": Vol. 22 No. 2 (2026): Revista Técnica "energía", Edición No. 22 ISSUE II
Julio Cardenas, Graciela Colomé, Estefania Tapia, Adaptive Generator Tripping to Improve Transient Stability in Systems with Renewable Generation Integration , Revista Técnica "energía": Vol. 22 No. 2 (2026): Revista Técnica "energía", Edición No. 22 ISSUE II
Rolando Noroña, Edgar Cajas, Carlos Lozada, Marlon Chamba, Transient Stability Analysis Using the Concept of Inertia and Data Mining , Revista Técnica "energía": Vol. 22 No. 1 (2025): Revista Técnica "energía", Edición No. 22, ISSUE I
Andrés Pereira, Roberth Saraguro, Carlos Quinatoa, Evaluation of Active Power Losses in the Electrical System of the Empresa Eléctrica Quito (EEQ) Applying an Optimization Algorithm , Revista Técnica "energía": Vol. 21 No. 1 (2024): Revista Técnica "energía", Edición No. 21, ISSUE I

1-10 of 486 Next

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

R. Barreto, O. Gomis, J. Heredia, Optimal Operation of Isolated Power System San Cristobal Island, with Renewable Power Generation and Electric Vehicles , Revista Técnica "energía": Vol. 14 No. 1 (2018): Revista Técnica "energía", Edición No. 14

Neural Gas Method

Renewable Generation

Scenarios Tree

Stochastic Programming

This paper proposes the implementation of an algorithm for generating scenarios trees from a series of statistical data; the algorithm is valid to process information from results of randomized experiments or simulations from known distribution functions of probability.

The scenarios tree is an appropriate instrument to deal with random parameters allows for solving stochastic optimization problems in the field of renewable natural resources.

The proposed methodology is applied to a study case to treat random information resource power generation wind and hydraulic, as well as electricity demand (including loading of induction cookers), a system of isolated distribution, based on data sets real history measurements.

Article visits 840 | PDF visits 216