paper
2019
Applications & impacts
New model or method
Other6 h–3 days Journal
2019-03-28
008
Mar 2019
José Francisco Torres, Alicia Troncoso, Irena Koprinska et al.
Expert Systems
Feed-forward deep learning decomposes day-ahead half-hourly PV power forecasting using weather data and forecasts from two years of Australian solar systems, with competitive accuracy and good scaling.
Big data solar power forecasting based on deep learning and multiple data sources
In one sentence. Feed-forward deep learning decomposes day-ahead half-hourly PV power forecasting using weather data and forecasts from two years of Australian solar systems, with competitive accuracy and good scaling.
Labels
- Topic
- Applications & impacts
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1111/exsy.12394 OpenAlex:W2935631455
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.