After successful completion of the course, students are able to understand selected methodological approaches to the modeling of energy systems and to apply them to answer questions in energy economics. In addition, students are able to independently implement optimization models conceptually, mathematically and source code specific.

Unit 1: Linear and mixed-integer optimization approaches

Unit 2: Stochastic optimization and robustness of solutions - Modeling under uncertainty

Unit 3: Game theory in the energy industry

Unit 4: Complex optimization problems and their decomposition: "Benders' decomposition theory"

See contents of the course

Lectures will be held on the following dates: 

03. May

17. May

24. May

07. June

14. June

21. June

The overall score (100% of the possible achievable total points) consists of 2 parts:

60% of the total points can be obtained from the 4 exercise examples (15% per exercise), which are to be worked out and submitted during the course.

40% of the total points can be obtained in the oral examination at the end of the semester. This exam consists of 4 questions (10% each), where the basic principles of the methods are tested.

The following materials are available for download on TISS:

- Presentation slides per lecture unit

- All necessary documents for the exercises (e.g., source code files)

- Basic knowledge of the parallel course "373.011 Energy Models and Analyses"

- Analytical thinking skills and willingness to learn independent source code development in Python must be present