Dynamic Data Driven approach to improve theperformance of a river simulation

In this research we incorporate the contributions of the dynamic data driven systems development that is based on the possibility of incorporating data obtained in real time into an executing application, in particular a simulation. This paper reports on the first phase of our research in which we h...

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Detalles Bibliográficos
Autores principales: Gaudiani, Adriana Angélica, Luque Fadón, Emilio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Simulator optimization
Dynamic data driven
Model calibration
Real-time data
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/104771
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-104771
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Simulator optimization
Dynamic data driven
Model calibration
Real-time data
spellingShingle Ciencias Informáticas
Simulator optimization
Dynamic data driven
Model calibration
Real-time data
Gaudiani, Adriana Angélica
Luque Fadón, Emilio
Dynamic Data Driven approach to improve theperformance of a river simulation
topic_facet Ciencias Informáticas
Simulator optimization
Dynamic data driven
Model calibration
Real-time data
description In this research we incorporate the contributions of the dynamic data driven systems development that is based on the possibility of incorporating data obtained in real time into an executing application, in particular a simulation. This paper reports on the first phase of our research in which we have used this idea to enhance the simulation quality of a river flow simulator by dynamic data inputs during the computational execution. We had presented an optimization methodology of this simulator model in previous works but in this opportunity, we could handle those time periods when a sudden level change takes place inthe river and we could improve the forecasting prediction. These results are the path towards the development of an automatic calibration framework fed with real-time data.
format Objeto de conferencia
Objeto de conferencia
author Gaudiani, Adriana Angélica
Luque Fadón, Emilio
author_facet Gaudiani, Adriana Angélica
Luque Fadón, Emilio
author_sort Gaudiani, Adriana Angélica
title Dynamic Data Driven approach to improve theperformance of a river simulation
title_short Dynamic Data Driven approach to improve theperformance of a river simulation
title_full Dynamic Data Driven approach to improve theperformance of a river simulation
title_fullStr Dynamic Data Driven approach to improve theperformance of a river simulation
title_full_unstemmed Dynamic Data Driven approach to improve theperformance of a river simulation
title_sort dynamic data driven approach to improve theperformance of a river simulation
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/104771
work_keys_str_mv AT gaudianiadrianaangelica dynamicdatadrivenapproachtoimprovetheperformanceofariversimulation
AT luquefadonemilio dynamicdatadrivenapproachtoimprovetheperformanceofariversimulation
bdutipo_str Repositorios
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