inf5128 AI in Energy Systems (Course overview)

inf5128 AI in Energy Systems (Course overview)

Department of Computing Science 3 KP
Semester courses Summer semester 2025
Lehrveranstaltungsform: Course or seminar
Hinweise zum Modul
Prerequisites

No participant requirements
Prüfungszeiten

at the end of the lecture period
Module examination

term paper
Skills to be acquired in this module

The students learn to understand the energy system as self-organizing, self- optimizing and self-healing cyber physical system and how equip the components with of a cyber physical energy system with intelligence and autonomy
Professional competences

The students

  • contrast different methods of AI
  • define modern use cases of AI applications in energy systems
  • identify appropriate AI methods to achieve a given control goal in the energy system
  • evaluate risks and drawbacks of AI in energy systems
  • apply AI to selected problems

Methological competences
The students

  • examine tasks with technical and research literature, write an academic article and present their solutions academically
  • evaluate problems of AI in energy systems
  • schedule time processes and resources

Social competences

The students

  • communicate with colleagues and experts convincingly

Self competences
The students

  • pursue and reflect the integration of AI into energy systems critically
  • reflect self-developed hypotheses to theories independently