paper
2023
Applications & impacts
Post-processing & calibration New model or method
Other3–15 days Journal
2023-06-07
008
Jun 2023
Yu Chang, Han Yang, Yuxi Chen et al.
IEEE Transactions on Sustainable Energy
Hybrid model corrects NWP wind speed with multi-scale deep learning for seven-day wind power forecasts, cutting MSE by 65% versus a state-of-the-art baseline.
A Hybrid Model for Long-Term Wind Power Forecasting Utilizing NWP Subsequence Correction and Multi-Scale Deep Learning Regression Methods
In one sentence. Hybrid model corrects NWP wind speed with multi-scale deep learning for seven-day wind power forecasts, cutting MSE by 65% versus a state-of-the-art baseline.
Labels
- Topic
- Applications & impacts, Post-processing & calibration
- Type
- New model or method
- Method
- Other
- Time scale
- 3–15 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1109/tste.2023.3283242 OpenAlex:W4379528680
- Added
- 2026-10-22
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