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Listar por palabra clave "Uncertainty analysis"

Mostrando ítems 1-20 de 24

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Aproximación estocástica al análisis de observabilidad en redes de abastecimiento de agua

Díaz, S.; Mínguez, R.; González, J. (Universitat Politècnica de València, 2016-07-26)

[EN] This work presents an alternative technique to the existing methods for observability analysis (OA) in water networks, which is a prior essential step for the implementation of state estimation (SE) techniques within ...
Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?

Muñoz Mas, Rafael; Martinez-Capel, Francisco; Alcaraz-Hernández, Juan Diego; Mouton, A. M. (Elsevier, 2015-08-10)

The potential of Multilayer Perceptron (MLP) Ensembles to explore the ecology of freshwater fish specieswas tested by applying the technique to redfin barbel (Barbus haasi Mertens, 1925), an endemic and mon-tane species ...
Can the discharge of a hyperconcentrated flow be estimated from paleoflood evidence?

Bodoque, JM; Eguíbar Galán, Miguel Ángel; Diez-Herrero, A; Gutierrez-Perez, I; Ruiz-Villanueva, V (American Geophysical Union (AGU), 2011)

Many flood events involving water and sediments have been characterized using classic hydraulics principles, assuming the existence of critical flow and many other simplifications. In this paper, hyperconcentrated flow ...
Comparación de post-procesadores estadísticos para la obtención de la incertidumbre predictiva de las simulaciones hidrológicas a escala mensual

Gastulo Tapia, Cristhian (Universitat Politècnica de València, 2019-10-15)

[ES] En la presente investigación se estudiarán diversos post procesadores estadísticos, aplicados a los caudales mensuales producto de modelos hidrologicos con el objeto de cuantificar la incertidumbre predictiva y mejorar ...
Comparison between different uncertainty propagation methods in multivariate analysis: An application in the bivariate case

Mullor, R.; Sánchez Galdón, Ana Isabel; Martorell Alsina, Sebastián Salvador; Martínez Alzamora, Mª Nieves (Elsevier, 2011-06)

Safety related systems performance optimization is classically based on quantifying the effects that testing and maintenance activities have on reliability and cost (RC). However, RC quantification is often incomplete in ...
Development and validation of a finite element model for water - CO2 coaxial gas-coolers

Sanchez, D.; Cabello, R.; Llopis, R.; Torrella Alcaraz, Enrique (Elsevier, 2012-05)

The gas-cooler heat exchanger is a characteristic device of the refrigeration plants that use CO2 as the working fluid in transcritical conditions. The proper gas-cooler sizing, allows getting the maximum effectiveness in ...
Enhanced monitoring and dynamics analysis of a concentrated solar thermal experimental plant for steam production

David-Hernandez, Marco Antonio; Cazorla-Marín, Antonio; Gonzálvez-Maciá, José; Payá-Herrero, Jorge; Frasquet, Miguel (Elsevier, 2024-07-15)

[EN] Solar heat for industrial processes (SHIP) is an increasingly interest option as a key strategy to decarbonise the industrial sector. Linear Fresnel Collectors are a promising technology due to their cost-effectiveness ...
Estudio de la incertidumbre en la programación de actividades usando la matriz de estructura dependiente

Gálvez, Edelmira D.; Capuz Rizo, Salvador Fernando; Ordieres Mere, Joaquin Bienvenido (Centro de Información Tecnológica, 2012)

A study about the effect of uncertainty on the planning of project activities using the dependency structure matrix (DSM) and grey theory. The grey theory is applied to represent the uncertainty in estimating project ...
Experimental design of dynamic model-based damage identification in piezoelectric ceramics

Rus, Guillermo; Palma, Roberto; Pérez-Aparicio, José L. (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2012)

[EN] A model-based inverse problem strategy is proposed for damage characterization, starting from the electromechanical response measurement as input data, and incorporating a numerical model that simulates the piezoelectric ...
Global sensitivity and uncertainty analysis of a microalgae model for wastewater treatment

Aparicio, Stéphanie; Serna-García, Rebecca; Seco, Aurora; FERRER, J.; Borrás Falomir, Luis; Robles, Ángel (Elsevier, 2022-02-01)

[EN] The results of a global sensitivity and uncertainty analysis of a microalgae model applied to a Membrane Photobioreactor (MPBR) pilot plant were assessed. The main goals of this study were: (I) to identify the sensitivity ...
Hydrological post-processing based on approximate Bayesian computation (ABC)

Romero-Cuellar, Jonathan; Abbruzzo, Antonino; Adelfio, Giada; Francés, F. (Springer-Verlag, 2019)

[EN] This study introduces a method to quantify the conditional predictive uncertainty in hydrological post-processing contexts when it is cumbersome to calculate the likelihood (intractable likelihood). Sometimes, it can ...
Improving hydrological post-processing for assessing the conditional predictive uncertainty of monthly streamflows

Romero Cuellar, Jonathan (Universitat Politècnica de València, 2020-01-07)

[ES] La cuantificación de la incertidumbre predictiva es de vital importancia para producir predicciones hidrológicas confiables que soporten y apoyen la toma de decisiones en el marco de la gestión de los recursos hídricos. ...
Metodología analítica para el análisis de alternativas en la evaluación ambiental estratégica y sus incertidumbres en la toma de decisiones

González González, Ramona Lidibert (Universitat Politècnica de València, 2022-05-27)

[ES] La Evaluación Ambiental Estratégica (EAE) proporciona el marco para la articulación de los proyectos de forma coherente y respetuosa con el medio ambiente, condiciones sociales, políticas y económicas (Arce y Gullón, ...
Reference evapotranspiration estimation without local climatic data

Martí Pérez, Pau Carles; González Altozano, Pablo; Gasque Albalate, Maria (Springer Verlag (Germany), 2011-11)

[EN] The Penman-Monteith equation for reference evapotranspiration (ET o) estimation cannot be applied in many situations, because climatic records are totally or partially not available or reliable. In these cases, empirical ...
Robustness of a discrete-time predictor-based controller for time-varying measurement delay

Gonzalez, A.; García Gil, Pedro José; Albertos Pérez, Pedro; Castillo, P; Lozano, R. (International Federation of Automatic Control, 2012-11-01)

A predictor-based controller for time-varying delay systems is presented in this paper and its robustness properties for different uncertainties are analyzed. First, a time-varying delay dependent stability condition is ...
Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty

Peña Haro, Salvador; Pulido-Velazquez, M.; Llopis Albert, Carlos (Elsevier, 2011-08)

[EN] In decision-making processes, reliability and risk aversion play a decisive role. This paper presents a framework for stochastic optimization of control strategies for groundwater nitrate pollution from agriculture ...
TEmporal Scale SIgmoid Curve (TESIC): A tool to characterize short-term demand variability at water supply systems

Ruiz Gómez, Emilio; Díaz García, Sarai; González Pérez, Javier (Editorial Universitat Politècnica de València, 2024-03-06)

[EN] Water demand is the main random factor that conditions flow variability across water supply systems. Water demand measurements or pseudomeasurements (i.e. estimations based on historical data) are associated with a ...
The effect of temperature and pressure on thermodynamic properties of diesel and biodiesel fuels

Payri, Raul; Salvador Rubio, Francisco Javier; Gimeno, Jaime; Bracho Leon, Gabriela (Elsevier, 2011-03)

The current work focuses on the study of the influence of pressure and temperature on three important thermodynamic properties: speed of sound, compressibility and density of common diesel fuels. The sample fuels studied ...
Towards an Extension of the Model Conditional Processor: Predictive Uncertainty Quantification of Monthly Streamflow via Gaussian Mixture Models and Clusters

Romero-Cuellar, Jonathan; Gastulo-Tapia, Cristhian J.; Hernández-López, Mario R.; Prieto Sierra, Cristina; Francés, F. (MDPI AG, 2022-04)

[EN] This research develops an extension of the Model Conditional Processor (MCP), which merges clusters with Gaussian mixture models to offer an alternative solution to manage heteroscedastic errors. The new method is ...
Uncertainty analysis in MCNP5 calculations for brachytherapy treatment

Gerardy, Isabelle Yvonne Joséphine; Ródenas Diago, José; Gallardo Bermell, Sergio (Elsevier, 2011-08)

The Monte Carlo (MC) method can be applied to simulate brachytherapy treatment planning. The MCNP5 code gives, together with results, a statistical uncertainty associated with them. However, the latter is not the only ...