Previsión de la demanda de agua: una revisión de la literatura
DOI:
https://doi.org/10.33448/rsd-v12i4.40819Palabras clave:
Demanda de agua; Previsión de la demanda; Series temporales; Redes neuronales; Ciudades inteligentes.Resumen
La previsión de demanda hídrica es esencial para el desenvolvimiento social y económico de una región. La literatura posee diversos estudios con aplicaciones específicas, más el asunto todavía carece de una visión extendida. Por tanto este artículo propone una revisión integrativa de la literatura, con el objetivo de suministrar una visión general del asunto (métodos, áreas de aplicación, objetivos y otros factores). Utilizando la metodología “Methodi Ordinatio”, fueron seleccionados 74 artículos para análisis, siendo la mayoría publicada en los Estados Unidos, Australia y el Reino Unido. Se concluyó que en la utilización de los métodos predomina el abordaje de redes neurales artificiales y análisis de regresión. En relación a la aplicación, la mayoría de los estudios fueron para previsión de demanda residencial.
Citas
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