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

Basic programming in Java or Python

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

The goal of this module is to teach mathematical and methodological foundations of energy informatics and especially for conducting large-scale simulation studies.

Will be announced in the lecture

At the end of the lecture term

Written exam or oral exam