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Energies(1)
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A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids
ReviewAbstract: This paper reviews the current techniques used in energy management systems to optimize energy schedPalabras claves:Energy Management System, Microgrids, Modeling, Optimization, uncertaintiesAutores:Ana K. Cabrera-Tobar, Pavan A.M., Petrone G., Spagnuolo G.Fuentes:scopusIntegrating model pbkp_redictive control and deep learning for the management of an EV charging station
ArticleAbstract: Explicit model pbkp_redictive control (EMPC) maps offline the control laws as a set of regions as aPalabras claves:Deep Neural Network, Electric vehicle (EV), energy management, Explicit model pbkp_redictive control, Model Pbkp_redictive Control, Optimization, Photovoltaic (PV), uncertaintiesAutores:Ana K. Cabrera-Tobar, D'Amore G., Pavan A.M., Petrone G., Spagnuolo G.Fuentes:scopusReal time Energy Management System of a photovoltaic based e-vehicle charging station using Explicit Model Pbkp_redictive Control accounting for uncertainties
ArticleAbstract: This paper proposes an Explicit Model Pbkp_redictive Control (eMPC) for the energy management of anPalabras claves:charging station, emissions, EV, Explicit, Model Pbkp_redictive Control, MPC, Multiparametric, Optimization, uncertaintiesAutores:Ana K. Cabrera-Tobar, Blasuttigh N., Pavan A.M., Petrone G., Spagnuolo G.Fuentes:scopus