Modelación y proyección de energía eléctrica mediante redes neuronales y simulación de Monte Carlo: Caso de estudio de México

• Autores: R. Luna, J. Rojas
• Localización: Ciencias de la Ingeniería y Tecnología Handbook T-III: Congreso Interdisciplinario de Cuerpos Académicos / coord. por Joel Quintanilla Domínguez, José Miguel Barrón Adame, 2013, ISBN 978-607-8324-14-9, págs. 34-50
• Idioma: español
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• Resumen

  • In the present work is reported a theoretical-methodological framework, in which are presented alternatives for carried out accurate projections about the growth of the national electrical power demand, as well as for analyzing the integration of alternative energy sources into hybrid energy systems at customer or end user scale by using of stochastic modeling. For the projections of the national electrical power demand growth, a metaheuristic approach is presented. This approach combines artificial neural networks modeling with Monte Carlo simulations. On the other hand, for the analysis of the alternative sources into hybrid energy systems at end user level, an approach where deterministic computational simulation models are combined with Monte Carlo simulations is proposed.