Seminar Summer Term 2022

We’re again offering the Seminar on Machine Learning for Renewable Energy Systems in the Summer Term 2022.


The seminar starts with introductory lectures, followed by an individual working phase and presentations at the end of the term.

The aim is that at the end of the course, you will:

  • Understand the basics of renewable energy systems and the role machine learning can play to control, optimise, and understand them.

  • Be able to identify current challenges in renewable energy systems.

  • Be able to discuss machine learning approaches that address these challenges.

What you’ll have to do:

  • Select and review a recent paper that applies machine learning to renewable energy systems,

  • write a seminar paper (5-7 pages),

  • give a short presentation (12min),

  • and review two seminar papers from fellow students in the course (peer review).

Organisation and Evaluation

Credits: 3 ECTS

Language: English

Dates & Room: Tuesdays, 12 noon - 2pm, Hörsaal TTR2 (Maria-von-Linden Str 6, EG)

Only the final seminar paper (75%) and the presentation (25%) are graded. The reviews and first version of the paper have to be handed-in on time to pass the course. Preliminary deadlines can be found at the bottom of this page in the tentative course plan.


If you want to participate in the course, please register via ILIAS. The course is limited to 15 people on a first come first serve basis.

Tentative Course Plan

26.04.22Overview of the Seminar & Introduction to Renewable Energy Systems
03.05.22Network Operation, Markets and Climate Change Impacts
10.05.22Machine Learning for Renewable Energy Systems
17.05.22Introduction to Academic Writing, Presenting and Writing a Review
12.06.22Deadline First Hand-in Seminar Paper
20.06.22Deadline Reviews
21.06.22Presentations and Discussion
28.06.22Presentations and Discussion
05.07.22Presentations and Discussion
30.08.22Deadline Revised Seminar Paper