|Lecturer||Professor Ramteen Sioshansi (Ohio State University)|
|Date|| 4th of October: One-day lecture at TU Dresden, Faculty of Business and Economics, Festsaal
A second date will be agreed together on 4th of October. This second meeting will take place online.
In the session at TU Dresden the students are asked (either individually or as teams) to implement a model that is inspired by what is learned from the lecture and reading.
In the online session the students or teams present their findings and challenges in implementing their models. Professor Sioshansi and the other students can have a discussion with each presenter and ask questions, as appropriate.
|Course description||This course has two aims. First, it will introduce students to different approaches to building energy-system-optimization models with explicit representation of uncertainty. In addition, students will be shown approaches to simplifying such mathematical models, for instance through model reduction or by simplifying model structures. Second, students will be exposed to different relaxation and decomposition techniques that can be applied to make such models more tractable. In addition to learning modeling and algorithm theory, students will implement simple examples using the GAMS software environment.|
|Target group||This seminar is aimed at students who have an interest in large-scale optimization of energy systems with explicit uncertainty representation. Students need to have a background in: |
|Certificate||Ph.D. students from the Faculty of Economics, TU Dresden can earn a certificate according to § 9 of the Ph.D. doctoral regulations (PromO 2018):|
Ph.D. students of Business Management: § 9 (1) Nr. 5 or 6
Ph.D. students of Business Informatics: § 9 (1) Nr. 6
Ph.D. students of Economics: § 9 (1) Nr. 6
Ph.D. students from other universities can earn a certificate as well.
|Registration||Participation is limited (max. 20).|
To register send an e-mail to Belinda Kaden (Belinda.Kaden@tu-dresden.de)