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)
Prerequisites

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

Literaturempfehlungen
Links
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
SWS 2
Frequency SoSe
Workload Präsenzzeit 28 h