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Publikasjoner
- 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
- Using machine learning to reduce mixed-integer variables in hydro scheduling
- Using machine learning for time-dependent commands
- Command status given the feature list
- Summary of the feature list
- Dynamic incorporation of nonlinearity into MILP formulation for short-term hydro scheduling Les publikasjonen