Projects
Contact person, projects
Expertise
Contact person, expertise
Software
Contact person, software
Publications
- Adaptively Learned Modeling for a Digital Twin of Hydropower Turbines with Application to a Pilot Testing System
- Impact of energy pricing regimes on production schedules under solar-hydro hybridization
- Integrating Machine Learning Techniques into the Decision-making Process for Hydro Scheduling
- Algorithmic Development and Industrial Applications of Short-term Hydro Scheduling in the Nordic Power Market
- Hydrogen and the decarbonization of the energy system in Europe in 2050: A detailed model-based analysis
- TwinLab Digital Twin Laboratory for Hydropower
- Strategic Research Agenda of the EERA Joint Programme Hydropower
- Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions Read publication
- The start-of-the-art application of machine learning
- Using machine learning to reduce mixed-integer variables in hydro scheduling