Angewandte Datenanalyse zur Vorhersage des Stromverbrauchs in Deutschland – Chancen und Herausforderungen im Kontext der deutschen Energiewende
Angewandte Datenanalyse zur Vorhersage des Stromverbrauchs in Deutschland – Chancen und Herausforderungen im Kontext der deutschen Energiewende
This seminar is only offered in German.
Course content
Description
As the energy transition in Germany progresses, renewable energies such as wind and solar power have become central pillars of electricity generation. At the same time, these energy sources bring challenges, including the unpredictability and variability of generation. This project seminar aims to offer students the opportunity to work independently and in cooperation with a practice partner to develop and implement data analyses to predict electricity generation and prepare them for business decisions.
Requirements
GOP modules all passed
BPM or SMSE passed with at least 2.3 (“good”)
Sound knowledge of German (at least B2 according to the Common European Framework of Reference for Languages)
Basic programming skills in Python or R
Learning objectives & competences
The students can…
independently develop and apply data analysis methods to forecast electricity generation
identifying the opportunities and challenges of data analysis in the context of the energy transition
develop practical solutions to support business decisions
Fitting into the sample cirriculum
From the 4th semester
Usability of the module
This module can be taken by students in the Bachelor’s degree programme Wirtschaftsinformatik. Students can acquire 10 ECTS in this module.