inf514 - Simulation-based Smart Grid Engineering and Assessment (Complete module description)

inf514 - Simulation-based Smart Grid Engineering and Assessment (Complete module description)

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Module label Simulation-based Smart Grid Engineering and Assessment
Modulkürzel inf514
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Master's Programme Computing Science (Master) >
  • Master's programme Digitalised Energy Systems (Master) >
Zuständige Personen
  • Lehnhoff, Sebastian (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites
Basic programming in Java or Python
Skills to be acquired in this module
Goal of this module is to teach mathematical and methodological foundations of energy informatics and for conducting large-scale simulation studies
Professional competence
The students:
  • know methods to analyze black-box objective functions
  • recognize the relation between precision and reliability of expected results and the necessary surplus effort
  • know methods to determine cause-effect relations between input parameters with small numbers of simulations (experiments)
  • evaluate the significance of simulation results
  • characterize (distributed) algorithms by their properties
  • transfer proving techniques to distributed problems

Methological competence
The students:
  • choose suitable statistical methods to interpret simulation results
  • apply methods from design of experiments
  • apply significance tests to compare algorithms
  • generate arbitrarily distributed input data
  • present results from algorithm evaluation statistically sound

Social competence
The students:
  • discuss the own algorithm choice
  • present their results and discuss with other students

Self-competence
The students:
  • reflect their own usage of the scarce resource energy
  • reflect problems and uncertainties when using statistical methods
  • recognize the limits of simulation studies and their responsibility for choosing correct statistical methods
  • accept criticism and understand it as a suggestion for the further development of their own actions
Module contents
The goal of this module is to teach mathematical and methodological foundations of energy informatics and especially for conducting large-scale simulation studies.
Literaturempfehlungen
Will be announced in the lecture
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency every winter term
Module capacity unlimited
Teaching/Learning method 1VL + 1Ü
Previous knowledge Basic programming in Java or Python
Form of instruction Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Exercises 2 WiSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module
At the end of the lecture term
Written exam or oral exam