Modelación y proyección de energía eléctrica mediante redes neuronales y simulación de Monte Carlo: Caso de estudio de México
2013
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.
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