Revisión de literatura de modelos computacionales para la predicción de la velocidad del viento de 2004 a 2016

Autores/as

DOI:

https://doi.org/10.36825/RITI.08.15.004

Palabras clave:

Modelos Computacionales, Modelos de Pronóstico, Velocidad del Viento, Revisión de Literatura

Resumen

El pronóstico de la velocidad del viento es un tema ampliamente investigado en la actualidad. Un factor clave a tener en cuenta es su importancia en el diseño y el cálculo de estructuras para edificios de tamaño considerable que se construirán en zonas de huracanes de alto riesgo. Otra rama de esta línea de investigación incluye su utilidad en la predicción de energía eólica, que no es un tema para discutir en este artículo. Aquí se presenta una clasificación de modelos computacionales para el pronóstico de la velocidad del viento de acuerdo con la técnica matemática utilizada para el pronóstico y basada en la revisión de la literatura. Las técnicas utilizadas para clasificar son: regresión lineal multivariante, redes neuronales artificiales, series de tiempo, lógica difusa y el proceso gaussiano. A lo largo del desarrollo de esta investigación, las redes neuronales artificiales y las aplicaciones de lógica difusa se identificaron como futuras líneas de investigación combinadas con un trabajo eficiente de minería de datos.

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Publicado

2020-02-25

Cómo citar

Tripp-Barba, C. (2020). Revisión de literatura de modelos computacionales para la predicción de la velocidad del viento de 2004 a 2016. Revista De Investigación En Tecnologías De La Información, 8(15), 27–40. https://doi.org/10.36825/RITI.08.15.004

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