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scopus(10)
A Stochastic Dual Dynamic Programming Framework for Multiscale MPC<sup>⁎</sup>
Conference ObjectAbstract: We derive and interpret stochastic dual dynamic programming (SDDP) from the perspective of MPC to arPalabras claves:duality, energy systems, MPC, multiscale, stochastic dynamic programmingAutores:Drees K.H., Elbsat M.N., Ellis M.J., Kumar R., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusA Stochastic Model Predictive Control Framework for Stationary Battery Systems
ArticleAbstract: A stochastic model predictive control (MPC) framework is presented to determine real-time commitmentPalabras claves:battery storage, Demand charges, energy markets, Frequency regulation, Pbkp_redictive control, stochastic systemsAutores:Drees K.H., Elbsat M.N., Ellis M.J., Kumar R., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusA multi-scale optimization framework for electricity market participation
ArticleAbstract: Power grids coordinate a diverse set of energy systems (generators, loads, storage devices) to ensurPalabras claves:Dynamics, electricity markets, energy systems, Multi-scale, Optimal ControlAutores:Dowling A.W., Kumar R., Víctor M. ZavalaFuentes:scopusBayesian optimization with reference models: A case study in MPC for HVAC central plants
ArticleAbstract: We present a framework for exploiting reference models in Bayesian optimization (BO). Our approach iPalabras claves:Bayesian optimization, HVAC Plants, MPC Tuning, Reference modelsAutores:González L.D., Kumar R., Lu Q., Víctor M. ZavalaFuentes:scopusBenchmarking stochastic and deterministic MPC: A case study in stationary battery systems
ArticleAbstract: We present a computational framework that integrates forecasting, uncertainty quantification, and moPalabras claves:battery storage, Constraints, Forecasts, Model Pbkp_redictive Control, UNCERTAINTYAutores:Drees K.H., Elbsat M.N., Ellis M.J., Jalving J., Kumar R., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusDual dynamic programming for multi-scale mixed-integer MPC
ArticleAbstract: We propose a dual dynamic integer programming (DDIP) framework for solving multi-scale mixed-integerPalabras claves:Dual dynamic programming, mixed-integer, Model Pbkp_redictive Control, Multi-scaleAutores:Drees K.H., Elbsat M.N., Kumar R., Risbeck M.J., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusHandling Long Horizons in MPC: A Stochastic Programming Approach
Conference ObjectAbstract: We propose an approach to handle long horizons in model predictive control (MPC). The approach is baPalabras claves:Autores:Drees K.H., Elbsat M.N., Ellis M.J., Kumar R., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusIntegrating MPC with Learning-Based and Adaptive Methods to Enhance Safety, Performance and Reliability in Automated Insulin Delivery
Conference ObjectAbstract: In this work, an adaptive-learning model predictive control (AL-MPC) framework that integrates distuPalabras claves:Adaptive model pbkp_redictive control, Automated insulin delivery, DIABÉTES, Machine learning, Recursive system identificationAutores:Askari M.R., Cinar A., Hajizadeh I., Kumar R., Víctor M. ZavalaFuentes:scopusStochastic model predictive control for central HVAC plants
ArticleAbstract: We present a stochastic model predictive control (MPC) framework for central heating, ventilation, aPalabras claves:Central plant, Demand charges, HVAC, Pbkp_redictive control, stochasticAutores:Drees K.H., Elbsat M.N., Kumar R., Risbeck M.J., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusMultisite supply planning for drug products under uncertainty
ArticleAbstract: In the pharmaceutical industry, the goal of a supply planner is to make efficient capacity allocatioPalabras claves:scheduling, stochastic optimization, supply-chain modeling, UNCERTAINTYAutores:Chiu K., Kumar R., Pushpangatha Kurup R., Sampat A.M., Saucedo V.M., Víctor M. ZavalaFuentes:scopus