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Combining model predictive control with a reduced genetic algorithm for real-time flood control
ArticleAbstract: This paper presents a novel meta-heuristic approach for real-time flood control. The approach combinPalabras claves:Flood management, Model Pbkp_redictive Control, Real-time control, Reduced genetic algorithmAutores:Meert P., Patrick Willems, Vermuyten E., Wolfs V.Fuentes:scopusFighting big data and ensemble fatigue in climate change impact studies: Can we turn the ensemble cascade upside down?
ArticleAbstract: Climate change impact modellers consider the availability of large ensembles of climate model resultPalabras claves:bias, Clustering, inter-dependence, perfect pbkp_redictor experiment, Skill, Statistical downscaling, ValidationAutores:De Niel J., Meert P., Patrick Willems, Van Uytven E., Wolfs V.Fuentes:scopusFlood control of the Demer by using Model Predictive Control
ArticleAbstract: It is shown how Model Predictive Control can be used for flood control of river systems modelled witPalabras claves:Flood control, Kalman filter, Model Pbkp_redictive Control, Open channel flowAutores:Agudelo O.M., Breckpot M., De Moor B., Meert P., Patrick WillemsFuentes:scopusInfluence of model uncertainty on real-time flood control performance
Conference ObjectAbstract: Previous research has shown that intelligent control of hydraulic structures can strongly reduce floPalabras claves:Autores:Meert P., Patrick Willems, Vermuyten E., Wolfs V.Fuentes:scopusImpact of seasonal changes in vegetation on the river model prediction accuracy and real-time flood control performance
ArticleAbstract: The vegetation along a river reach varies throughout a year. Seasonal vegetation affects the hydrodyPalabras claves:conceptual modelling, Data assimilation, Model Pbkp_redictive Control, real-time flood control, seasonal vegetationAutores:Meert P., Patrick Willems, Vermuyten E., Wolfs V.Fuentes:scopusReal-Time River Flood Control under Historical and Future Climatic Conditions: Flanders Case Study
ArticleAbstract: Model predictive control (MPC) has shown to be an efficient technique for real-time flood control. TPalabras claves:Climate scenario analysis, Long-term series, Model Pbkp_redictive Control, real-time flood control, Reduced genetic algorithmAutores:Meert P., Patrick Willems, Van Uytven E., Vermuyten E., Wolfs V.Fuentes:scopusModel uncertainty reduction for real-time flood control by means of a flexible data assimilation approach and reduced conceptual models
ArticleAbstract: Recently, a combination of model predictive control and a reduced genetic algorithm (RGA-MPC) has shPalabras claves:Data assimilation, Hydrodynamic model uncertainty, Model Pbkp_redictive Control, real-time flood control, Reduced genetic algorithmAutores:Meert P., Patrick Willems, Vermuyten E., Wolfs V.Fuentes:scopusModular conceptual modelling approach and software for river hydraulic simulations
ArticleAbstract: Numerous applications in river management require computationally efficient models that can accuratePalabras claves:Calculation scheme, computational efficiency, Emulation modelling, Floods, Modelling software, riverAutores:Meert P., Patrick Willems, Wolfs V.Fuentes:scopusOn the importance of river hydrodynamics in simulating groundwater levels and baseflows
ArticleAbstract: Research to date affirmed the key role of stream–aquifer interactions in integrated water resourcesPalabras claves:Groundwater discharge, groundwater model, Integrated modelling, river hydrodynamicsAutores:Huysmans M., Meert P., Patrick Willems, Quan T.Q.Fuentes:scopusSemi-automatic conceptual model identification and calibration tool for river hydraulic computations
Conference ObjectAbstract: Hydrodynamic models play a crucial role in water management. Nevertheless, the use of detailed modelPalabras claves:Autores:Meert P., Patrick Willems, Wolfs V.Fuentes:scopus