Center for Research in Energy: Economics and Markets (CoRE) is hosting this PhD course.

Electricity price forecasting (EPF) is a branch of energy forecasting on the interface between econometrics/statistics, computer science and engineering, which focuses on predicting the spot and forward prices in wholesale electricity markets. Over the last 25 years, a variety of methods and ideas have been tried for EPF, with varying degrees of success. In this short course recent developments in this fascinating area will be reviewed, including (but not limited to) pre- and postprocessing, (semi)automated feature selection, calibration window selection, probabilistic forecasting, combining forecasts, temporal reconciliation, deep learning, foundation models, and economic evaluation.

> course description

Lecturer

Professor Rafał Weron, Wrocław University of Science and Technology.

Course format

The course/lecture series is intended for PhD students, postdoctoral researchers, and faculty interested in electricity markets and electricity market modelling and forecasting. The lectures are covered over two half days. On day 2, there will also be a presentation in the afternoon by Rafał Weron on some recent ongoing work. Students requesting ECTS credit should conduct an extra activity to be described below.

ECTS

In order to obtain ECTS credits for the course, PhD students are required to write an essay of 10 pages focusing on electricity price forecasting. The exact topic of the essay must be agreed in advance with the lecturer and the course coordinator following a 45-minute discussion. The essay can include methodological, theoretical, and/or empirical elements from the student’s own research field, provided that these have potential relevance for application to the course topic.

The final essay must be submitted no later than 1 October 2026 and will be assessed as part of the approval of the course activity following a 30-minute presentation and discussion.

For PhD students at AU ECON, this course has been pre-approved as an internal BSS PhD course equivalent to 2 ECTS credits.

Registration

Registration deadline: 10 August 2026 via https://event.au.dk/events/dgpe-electricity-price-forecasting

The course participation is free of charge for:

1. DGPE members from AU, KU, CBS, AAU and SDU.
2. PhD students from Economics Departments at Nordic universities outside Denmark.

For other participants, the course fee is EUR 100.

Contact

Academic: Niels Haldrup, nhaldrup@econ.au.dk
Administrative: Susanne Christensen, sch@econ.au.dk