Seminar Winter Term 21/22
The group offers a Seminar in the Winter Term 21/22 on Machine Learning for Renewable Energy Systems.
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
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.
If you want to participate in the course, please send an email to firstname.lastname@example.org. 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