Seminar Winter Term 21/22

The group offers a Seminar in the Winter Term 21/22 on Machine Learning for Renewable Energy Systems.

Learning outcomes

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. You will be able to review current literature on challenges in renewable energy systems and can identify machine learning approaches to address these challenges. Additionally, you’ll be able to present a machine learning approach for a current challenge in renewable energy systems in written and oral form and are able to give feedback to other students.

Organisation and Evaluation

Credits: 3 ECTS

Language: English

Dates & Room: Wednesdays 10 am c.t., Conference Room, South Wing, 4th floor, Maria-von-Linden Str 6

Evaluation: Presentation (12min + 3min Q&A), review of two other student paper (roughly 1 page each), written seminar paper (7-10 pages)

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.

Registration

If you want to participate in the course, please send an email to nicole.ludwig@uni-tuebingen.de. You’ll be contacted later with more details. The course is limited to 12 people on a first come first serve basis.

Tentative Course Plan

Week 1: Introduction to Energy Systems and Individual Topic Selection

Week 2: Solar, Wind and Hydro Power

Week 3: Electricity Markets and Energy System Modelling

Week 4: Renewable Energy and Climate Change

Week 5: Introduction to Academic Writing, Presenting and Writing a Review

Week 6 - Week 13: Individual Working Phase

19.12.21: Deadline First Hand-in Seminar paper

16.01.22: Deadline Reviews

Week 14: Discussion of Reviews and Feedback

Week 15: Presentations and Discussion

Week 16: Presentations and Discussion

Week 17: Presentations and Discussion

20.03.22: Deadline Revised Seminar Paper