Angewandte Datenanalyse zur Vorhersage des Stromverbrauchs in Deutschland – Chancen und Herausforderungen im Kontext der deutschen Energiewende

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.

Further information