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Repositorio Institucional Universidad Católica de Salta
Other ORP type . 2016
License: CC BY NC SA
Data sources: Repositorio Institucional Universidad Católica de Salta
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Redes neuronales artificiales y algoritmos genéticos en aplicaciones energéticas

appsOther research productkeyboard_double_arrow_right Other ORP type 30 Dec 2016 Argentina Spanish; Castilian Publisher:Universidad Católica de Salta. Facultad de Ingeniería (Salta)
Authors: Morales, D. Martín; Cappelletti, Marcelo; Hasperué, Waldo; Charlier, Leandro; Casas, Guillermo;

Redes neuronales artificiales y algoritmos genéticos en aplicaciones energéticas

Abstract

En el presente trabajo, técnicas de inteligencia artificial subsimbólica, tales como redes neuronales artificiales y algoritmos genéticos son utilizados como una primera aproximación para la obtención de parámetros de sistemas relacionados con las energías renovables. En particular, por un lado, se presenta el entrenamiento de una red neuronal artificial multicapa para predecir a corto plazo la irradiancia solar en una localidad de Argentina. Y por otro lado, se presenta la utilización de la técnica de algoritmos genéticos para la extracción de diferentes parámetros eléctricos de una celda solar. Los resultados obtenidos son útiles para predecir el comportamiento de ambos sistemas analizados.

Fil: Cappelletti, Marcelo. Universidad Católica de Salta. Facultad de Ingeniería; Argentina.

Fil: Morales, D. Martín. Universidad Católica de Salta. Facultad de Ingeniería; Argentina.

Fil: Charlier, Leandro. Universidad Católica de Salta. Facultad de Ingeniería; Argentina.

Fil: Casas, Guillermo. Universidad Católica de Salta. Facultad de Ingeniería; Argentina.

Fil: Hasperué, Waldo. Universidad Católica de Salta. Facultad de Ingeniería; Argentina.

Country
Argentina
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Keywords

Informática, Redes neuronales artificiales, Algoritmo, Inteligencia artificial

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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