Veranstaltung
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Veranstaltung
Semester:
Wintersemester
2024
2.01.516 Agent-based Control in Energy Systems -
Veranstaltungstermin | Raum
- Mittwoch, 16.10.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 17.10.2024 16:00 - 18:00 | A07 0-031
- Donnerstag, 24.10.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 30.10.2024 8:00 - 10:00 | A03 4-403
- Mittwoch, 6.11.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 7.11.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 13.11.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 14.11.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 20.11.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 21.11.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 27.11.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 28.11.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 4.12.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 5.12.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 11.12.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 12.12.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 18.12.2024 8:00 - 10:00 | A03 4-403
- Donnerstag, 19.12.2024 16:00 - 18:00 | A07 0-031
- Mittwoch, 8.1.2025 8:00 - 10:00 | A03 4-403
- Donnerstag, 9.1.2025 16:00 - 18:00 | A07 0-031
- Mittwoch, 15.1.2025 8:00 - 10:00 | A03 4-403
- Donnerstag, 16.1.2025 16:00 - 18:00 | A07 0-031
- Mittwoch, 22.1.2025 8:00 - 10:00 | A03 4-403
- Donnerstag, 23.1.2025 16:00 - 18:00 | A07 0-031
- Mittwoch, 29.1.2025 8:00 - 10:00 | A03 4-403
- Donnerstag, 30.1.2025 16:00 - 18:00 | A07 0-031
Beschreibung
This course first introduces the basics of software agents and agent systems. Using application examples from the field of energy systems, different aspects are examined, e.g., (distributed) optimization of real-world problems, agent architectures, agent communication, cooperative and competitive agents, and agents to implement distributed heuristics, ...
The accompanying exercise is divided into two phases.
1. Phase: Exercise sheets are handed out to put the basics of the lecture into practice
2. Phase: You will get assigned to projects in which a distributed system/algorithm needs to be implemented that can solve a given real-world (from the energy domain) optimization problem.
The programming language for the exercises is Python. The framework mango supports the implementation of the distributed system.
The accompanying exercise is divided into two phases.
1. Phase: Exercise sheets are handed out to put the basics of the lecture into practice
2. Phase: You will get assigned to projects in which a distributed system/algorithm needs to be implemented that can solve a given real-world (from the energy domain) optimization problem.
The programming language for the exercises is Python. The framework mango supports the implementation of the distributed system.
Lehrende
Studienbereiche
- Studium generale / Gasthörstudium
SWS
4
Lehrsprache
deutsch und englisch
Anzahl der freigegebenen Plätze für Gasthörende
1
Für Gasthörende / Studium generale geöffnet:
Ja