Efficient Systems - Selected Chapters
| Degree programme | Sustainable Energy Systems |
| Subject area | Engineering Technology |
| Type of degree | Master Part-time Winter Semester 2023 |
| Course unit title | Efficient Systems - Selected Chapters |
| Course unit code | 072722030501 |
| Language of instruction | German, English |
| Type of course unit (compulsory, optional) | Compulsory optional |
| Teaching hours per week | 2 |
| Year of study | 2023 |
| Level of the course / module according to the curriculum | |
| Number of ECTS credits allocated | 3 |
| Name of lecturer(s) | Subodha Tharangi Ireshika MUHANDIRAM ARACHCHIGE |
None
Two to three topics based on research articles and/or textbook chapters, e.g:
- Mixed Integer Linear Programming
- Direct search methods
- Randomised Search Methods
- Dynamic and Uncertain Optimisation
- Multi-objective optimisation
- Application from the energy and climate domain
After the course, the students will be familiar with selected current topics in the area of "Efficient Systems". Through the course they have obtained a detailed assessment of their advantages and disadvantages and can apply the learned methods to practical problems. The students can use the presented methods
- present their basic idea and describe their mode of operation in detail
- apply on the computer to practical examples
- critically with regard to their robustness, their computational complexity, their information expenditure and their use.
Integrated Course
Written exam
None
Technical literature, further learning resources and aids result from the selected topic. Here are some examples:
- Calafiore, Giuseppe C.; Laurent, El Ghaoui (2014): Optimization Models. Cambridge: Cambridge University Press.
- Kallrath, Josef u.a. (2009): Optimization in the Energy Industry. 2009. Aufl. Berlin: Springer.
- Kovacevic, Raimund M.; Pflug, Georg Ch; Vespucci, Maria Teresa (2013): Handbook of Risk Management in Energy Production and Trading. 2013. Aufl. New York: Springer.
- Papageorgiou, Markos; Leibold, Marion; Buss, Martin (2009): Optimierung: Statische, Dynamische, Stochastische Verfahren für die Anwendung. 3. neu bearb. und erw. Auflage. Berlin: Springer.
- Borrelli, Francesco; Bemporad, Alberto; Morari, Manfred (2017): Predictive Control for Linear and Hybrid Systems. Cambridge, United Kingdom ; New York, NY, USA: Cambridge University Press.
- Stocker, Thomas (2011): Introduction to Climate Modelling. 2011. Aufl. New York: Springer.
- Eiben, Gusz; Smith, James E. (2015): Introduction to Evolutionary Computing. 2nd Edition. Springer: Berlin, Heidelberg.
- Conn, Andrew R.; Scheinberg, Katya; Vicente, Luis N. (2009): Introduction to Derivative-free Optimization. SIAM.
Presence course. The students are informed of the lecturer's attendance requirements before the start of the course.