paper
2020
Applications & impacts
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Other
2020-03-10
008
Mar 2020
Valentina Sessa, Edi Assoumou, S. C. P. Carvalho
preprint
Machine learning links climate variables from regional and global climate models to European hydropower capacity factors under future scenarios.
Variabilty of Long Term Estimates of Hydro Power Generation on a European Scale
In one sentence. Machine learning links climate variables from regional and global climate models to European hydropower capacity factors under future scenarios.
Labels
- Topic
- Applications & impacts, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.46855/energy-proceedings-4506 OpenAlex:W3022938204
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.