Pflichtpraktikum im Bereich Prädiktive Regelung von Heim-Energiemanagementsystemen
Core
Developing and implementing real-time predictive control algorithms for Home Energy Management Systems (HEMS) to optimize local energy generation, storage, and consumption using model predictive control (MPC) and data-driven forecasts.
Role type
Predictive control algorithm engineer (practical internship)
Builds
Simulation-based system models and production-ready control algorithms for HEMS
Domain
Energy management / Control theory / Embedded systems
Deliverable
production ML models | infrastructure
Required skills
Python programming, Model Predictive Control (MPC), Simulation modeling, Literature research
Preferred skills
Matlab/Simulink experience
Technologies
Python, Matlab, Simulink
Responsibilities
Extend existing control algorithms, implement real-time capable algorithms, evaluate algorithm performance via simulation studies, conduct literature research on optimization procedures
Seniority
Internship (Master's level)