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scopus(4)
A 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: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: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:scopus