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Clustering-based preconditioning for stochastic programs
ArticleAbstract: We present a clustering-based preconditioning strategy for KKT systems arising in stochastic programPalabras claves:Clustering, Interior-point, Large-scale, preconditioning, stochasticAutores:Cao Y., Laird C.D., Víctor M. ZavalaFuentes:scopusA Chance-Constrained Nonlinear Programming Approach for Equipment Design Under Uncertainty
Book PartAbstract: In this work there are shown different strategies to cope uncertainty in large-scale chance-constraiPalabras claves:design, flares, sigmoid conditional value at risk, UNCERTAINTYAutores:Cao Y., Ponce-Ortega J.M., Tovar-Facio J., Víctor M. ZavalaFuentes:scopusA scalable global optimization algorithm for stochastic nonlinear programs
ArticleAbstract: We present a global optimization algorithm for two-stage stochastic nonlinear programs (NLPs). The aPalabras claves:Global optimization, Scalable, Stochastic NLPAutores:Cao Y., Víctor M. ZavalaFuentes:scopusGraph-based modeling and simulation of complex systems
ArticleAbstract: We present graph-based modeling abstractions to represent cyber-physical dependencies arising in comPalabras claves:Algebraic, computing, Connectivity, Cyber-physical, GRAPHSAutores:Cao Y., Jalving J., Víctor M. ZavalaFuentes:scopusMultiscale model pbkp_redictive control of battery systems for frequency regulation markets using physics-based models
ArticleAbstract: We propose a multiscale model pbkp_redictive control (MPC) framework for stationary battery systemsPalabras claves:Battery, energy, Frequency regulation, MARKETS, Model Pbkp_redictive ControlAutores:Cao Y., Lee S.B., Subramanian V.R., Víctor M. ZavalaFuentes:scopusOptimal PID controller tuning using stochastic programming techniques
ArticleAbstract: We argue that stochastic programming provides a powerful framework to tune and analyze the performanPalabras claves:PID CONTROL, Risk, robustness, stochastic programming, UNCERTAINTYAutores:Cao Y., Dowling A.W., Renteria J.A., Víctor M. ZavalaFuentes:scopusMachine Learning Algorithms for Liquid Crystal-Based Sensors
ArticleAbstract: We present a machine learning (ML) framework to optimize the specificity and speed of liquid crystalPalabras claves:Automated, chemical sensors, Fast, Liquid crystals, Machine learningAutores:Abbott N.L., Cao Y., Víctor M. Zavala, Yu H.Fuentes:scopusUsing stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines
ArticleAbstract: We propose stochastic programming formulations to enforce mechanical load requirements in wind turbiPalabras claves:Mechanical load, Power, Risk, stochastic programming, WindAutores:Cao Y., D'Amato F., Víctor M. ZavalaFuentes:scopusScalable Solution Strategies for Chance-Constrained Nonlinear Programs
ArticleAbstract: Probabilistic (chance) constraints are a powerful modeling paradigm that helps decision-makers contrPalabras claves:Autores:Cao Y., Ponce-Ortega J.M., Tovar-Facio J., Víctor M. ZavalaFuentes:scopusScalable modeling and solution of stochastic multiobjective optimization problems
ArticleAbstract: We present a scalable computing framework for the solution stochastic multiobjective optimization prPalabras claves:CVaR, large scale, Multiobjective, Optimization, stochasticAutores:Cao Y., Chen S., Fuentes-Cortés L.F., Víctor M. ZavalaFuentes:scopus