inf5128 - AI in Energy Systems (Complete module description)

inf5128 - AI in Energy Systems (Complete module description)

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Module label AI in Energy Systems
Modulkürzel inf5128
Credit points 3.0 KP
Workload 90 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Master's Programme Computing Science (Master) > Angewandte Informatik
  • Master's programme Digitalised Energy Systems (Master) > Innovation Topics and Smart Grids
Zuständige Personen
  • Bremer, Jörg (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)

No participant requirements

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
Module contents

This module integrates current developments in artificial intelligence (AI) and its application to energy systems

Language of instruction English
Duration (semesters) 1 Semester
Module frequency irregular
Module capacity unlimited
Teaching/Learning method V or S
Previous knowledge none
Examination Prüfungszeiten Type of examination
Final exam of module

at the end of the lecture period

term paper

Form of instruction Course or seminar
Frequency SoSe
Workload Präsenzzeit 28 h