480 74 497
- Enhet:
- SINTEF Energi AS
- Avdeling:
- Energisystemer
- Kontorsted:
- Trondheim
Ekspertise
Programvare
Publikasjoner
- Strategic Research Agenda of the EERA Joint Programme Hydropower
- Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions
- 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
- Strategic Research Agenda of the EERA Joint Programme Hydropower
- An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem