Search Results - "Solares, Cristina"

Is There any Impact of Teaching Vector Spaces From Real Problems? The Case of First Year Engineering Students by Raquel, Fernández-Cézar, Henar, Herrero, Francisco, Pla, Cristina, Solares

“…In some linear algebra courses at the university level in engineering majors, the vector spaces are presented to students in an abstract way with scarce…”
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A Greedy Algorithm for Observability Analysis by Herrero, Henar, Solares, Cristina

“…This letter presents a numerical algorithm for observability analysis. The proposed algorithm is based on a greedy strategy combined with a Gram-Schmidt…”
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Observability Analysis and Restoration for Distribution Grids: A Robust Greedy Numerical Algorithm by Alguacil, Natalia, Herrero, Henar, Solares, Cristina

“…This paper presents a robust and efficient algorithm for analyzing and restoring the observability of distribution grids. A linearized load flow model is used…”
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Observability in linear systems of equations and inequalities: Applications by Castillo, Enrique, Conejo, Antonio J., Eva Pruneda, Rosa, Solares, Cristina

“…This paper deals with the problem of observability of linear systems of equations and inequalities in which some of the unknowns and some of the right-hand…”
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Observability analysis in state estimation: a unified numerical approach by Castillo, E., Conejo, A.J., Pruneda, R.E., Solares, C.

“…This paper provides a unified approach to observability checking, critical measurements identification, determination of observable islands, identification of…”
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m-k Robust Observability in State Estimation by Castillo, E., Conejo, A.J., Pruneda, R.E., Solares, C., Menendez, J.M.

“…This paper provides a technique to determine the minimum required measurement set to ensure observability in state estimation even if any meters fail. The…”
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State estimation observability based on the null space of the measurement Jacobian matrix by Castillo, E., Conejo, A.J., Pruneda, R.E., Solares, C.

“…This letter describes a new technique for state estimation observability analysis. This technique is computationally efficient and based on calculating the…”
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Uncertainty analyses in fault trees and Bayesian networks using FORM/SORM methods by Castillo, Enrique, Sarabia, José Marı́a, Solares, Cristina, Gómez, Patricia

“…Efficient computational methods based on first and second order approximations (FORM/SORM) of the tails of a random variable, which is defined as a function of…”
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Tail Sensitivity Analysis in Bayesian Networks by Castillo, Enrique F, Solares, Cristina, Gomez, Patricia

“…The paper presents an efficient method for simulating the tails of a target variable Z=h(X) which depends on a set of basic variables X=(X_1, ..., X_n). To…”
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Tail uncertainty analysis in complex systems by Castillo, Enrique, Solares, Cristina, Gómez, Patricia

“…The paper presents an efficient computational method for estimating the tails of a target variable Z which is related to other set of bounded variables X = ( X…”
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Learning and Updating of Uncertainty in Dirichlet Models by Castillo, Enrique, Hadi, Ali S, Solares, Cristina

“…In this paper we analyze the problem of learning and updating of uncertainty in Dirichlet models, where updating refers to determining the conditional…”
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Estimating extreme probabilities using tail simulated data by Castillo, Enrique, Solares, Cristina, Gómez, Patricia

“…The paper presents a powerful method for estimating extreme probabilities of a target variable Z = h( X) which is a monotone function of a set of basic…”
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Error Estimation in Approximate Bayesian Belief Network Inference by Castillo, Enrique F, Bouckaert, Remco R, Sarabia, Jose M, Solares, Cristina

“…We can perform inference in Bayesian belief networks by enumerating instantiations with high probability thus approximating the marginals. In this paper, we…”
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