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Publikasjoner
- Adaptively Learned Modeling for a Digital Twin of Hydropower Turbines with Application to a Pilot Testing System Les publikasjonen
- Impact of energy pricing regimes on production schedules under solar-hydro hybridization
- TwinLab – Digital twin laboratory for hydropower
- 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 Les publikasjonen
- The start-of-the-art application of machine learning