2 papers
eess.SY2023
Stochastic MPC for energy hubs using data driven demand forecasting
Varsha Behrunani, Francesco Micheli, Jonas Mehr +2
Energy hubs convert and distribute energy resources by combining different energy inputs through multiple conversion and storage components. The optimal operation of the energy hub…
eess.SP2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
Itzik Klein, Guy Revach, Nir Shlezinger +3
Providing a metric of uncertainty alongside a state estimate is often crucial when tracking a dynamical system. Classic state estimators, such as the Kalman filter (KF), provide a…