  This work introduces the concept of an autonomous cooking process based on
Digital Twin method- ology. It proposes a hybrid approach of physics-based full
order simulations followed by a data-driven system identification process with
low errors. It makes faster-than-real-time simulations of Digital Twins
feasible on a device level, without the need for cloud or high-performance
computing. The concept is universally applicable to various physical processes.
