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Modul (6 Credits)
Econometrics of Electricity Markets
- Name im Diploma Supplement
- Econometrics of Electricity Markets
- Verantwortlich
- Voraussetzungen
- Siehe Prüfungsordnung.
- Workload
- 180 Stunden studentischer Workload gesamt, davon:
- Präsenzzeit: 60 Stunden
- Vorbereitung, Nachbereitung: 80 Stunden
- Prüfungsvorbereitung: 40 Stunden
- Dauer
- Das Modul erstreckt sich über 1 Semester.
- Qualifikationsziele
The students
- have an advanced understanding of electricity markets
- understand regression based modeling methods for electricity prices
- can apply estimation and forecasting algorithms to real data using the statistical Software R
- able to interpret and to visualize the results
- Prüfungsmodalitäten
Equally weighted average of a group R-project and a presentation (usually about 20 minutes).
- Verwendung in Studiengängen
- Bestandteile
Vorlesung (3 Credits)
Econometrics of Electricity Markets
- Name im Diploma Supplement
- Econometrics of Electricity Markets
- Anbieter
- Lehrperson
- SWS
- 2
- Sprache
- englisch
- Turnus
- unregelmäßig
- maximale Hörerschaft
- 24
- empfohlenes Vorwissen
- Good knowledge of linear models.
- R knowledge (esp. functions like lm)
- Understanding of AR(p) processes is very helpful
- Abstract
The objective of the lecture is to provide a basic understanding of electricity markets and regression based modeling methods for electricity prices. The aim of this course is to apply estimation and forecasting algorithms to real data using the statistical Software R, to interpret and to visualize the results.
- Lehrinhalte
- Introduction to electricity markets
- Overview of different model approaches
- Regression based modeling methods for electricity prices
- Forcasting and evaluation techniques
- Advanced estimation and modeling approaches
- Literaturangaben
The relevant material will be given during the course.
Suggested reading:
Weron, Rafał. "Electricity price forecasting: A review of the state-of-the-art with a look into the future." International Journal of Forecasting 30.4 (2014): 1030-1081.
- didaktisches Konzept
Lecture. The studied modeling an forecasting methods are applied on real data using the statistical sofware R.
- Hörerschaft
Übung (3 Credits)
Econometrics of Electricity Markets
- Name im Diploma Supplement
- Econometrics of Electricity Markets
- Anbieter
- Lehrperson
- SWS
- 2
- Sprache
- englisch
- Turnus
- unregelmäßig
- maximale Hörerschaft
- 24
- empfohlenes Vorwissen
See Lecture
- Lehrinhalte
See Lecture
- Literaturangaben
See Lecture
- didaktisches Konzept
Tutorials. The students apply the learned methods in a own real data project.
- Hörerschaft