Thanks to more and more powerful embedded systems, it is now possible to economically implement controllers for machines, heaters or power storage devices, which can independently learn the characteristics of the system to be controlled and make use of predictions such as the weather forecast. Thanks to such controllers, systems can be operated much more efficiently.
- Model Predictive Control (MPC)
- Reinforcement Learning (RL)
- System Identification
SCS has experience in optimizing production lines, prosumer dispatch in the “Smart Grid” (GridBox project), complex heating systems with geothermal probes and solar collectors.