LAUSR

from sensor data if the packet-loss rate exceeds a prescribed critical threshold. The paper MINLP-based hybrid strategy for operating mode selection of TES-backed-up refrigeration systems by G. Bejarano, D. Rodríguez, J.M. Lemos, M. Vargas Villanueva, and M. Ortega ends the volume and is focused on optimal scheduling of a vapor-compression refrigeration cycle and a thermal energy storage. The scheduling problem is posed in terms of a hybrid nonlinear model predictive control problem, with economic objectives and constraints defined according to energy price forecast, cooling demand satisfaction, limits on the storable cold energy, and power feasibility. We hope that this special issue will be able to highlight the power and the importance of the hybrid modeling paradigm to researchers and practitioners, underlining what current challenges and open problems are in the field, to ultimately stimulate further research and applications in this area.