paper
2019
Post-processing & calibration
Applications & impacts New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2019-07-25
018
Jul 2019
Min Ding, Hao Zhou, Hua Xie et al.
Neurocomputing
GRU-based correction of wind speed forecast errors to improve short-term wind power forecasting.
A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting
In one sentence. GRU-based correction of wind speed forecast errors to improve short-term wind power forecasting.
Labels
- Topic
- Post-processing & calibration, Applications & impacts
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1016/j.neucom.2019.07.058 OpenAlex:W2963599060
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.