Machine Learning for Renewable Energy Systems

We’re offering the Seminar on Machine Learning for Renewable Energy Systems in the Summer Term 2024.

General

The seminar starts with introductory lectures, followed by an individual working phase and presentations in the second half of 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.
• Be able to implement and present a machine learning approach to address a challenge in renewable energy systems.

What you’ll have to do

• implement a ML method on given energy data and make code publicly available
• present the method and results in a short presentation (12 min)
• write a short paper about your approach (max 5 pages)
• review papers from fellow students (peer review)

Organisation and Evaluation

Credits: 3 ECTS

Language: English

Dates & Room: Tuesdays, 10 - 12noon, Lecture Hall, AI Research Building (Maria-von-Linden Str 6), Seminar starts in the second week of term.

Only the final seminar paper (50%) and the presentation (50%) 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 register via Moodle, the registration starts on March, 29th. The course is limited to 15 participants.

Tentative Course Plan