Study on the use of artificial intelligence for improved forecasting of the performance of VERBUND power plant chains along the Danube and Inn rivers (EPP_AI)
Abstract
The study aims to develop a model system that uses artificial intelligence (AI) to predict the output of VERBUND's hydroelectric power plant chains along the Danube and Inn rivers. The AI system will use discharge forecasts from several operational precipitation-runoff models, all based on VERBUND's internal precipitation-runoff system COSERO. The input data and the measured power plant outputs are provided by the client at hourly intervals. The project aims to predict output up to a forecast horizon of 72 hours. Attempts will also be made to interpret the AI model, quantifying the individual contribution of a COSERO discharge forecast to the overall output forecast.
Project staff
Karsten Schulz
Univ.Prof. Dipl.Geoökol.Dr.rer.nat Karsten Schulz
karsten.schulz@boku.ac.at
Tel: +43 1 47654-81699
Project Leader
01.10.2025 - 30.09.2026