paper
2022
Local & station forecasting
Applications & impacts New model or method
RNN / LSTM / ConvLSTM6 h–3 daysChina Meteorological Administration (CMA) Journal
2022-03-04
018
Mar 2022
Dalei Qiao, Shun Wei Wu, Ge Li et al.
Renewable Energy
China Meteorological Administration (CMA)
Multi-site collaborative deep learning for wind speed forecasting in valley complex terrain; abstract unavailable, judged from title only.
Wind speed forecasting using multi-site collaborative deep learning for complex terrain application in valleys
In one sentence. Multi-site collaborative deep learning for wind speed forecasting in valley complex terrain; abstract unavailable, judged from title only.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1016/j.renene.2022.02.095 OpenAlex:W4214810046
- Added
- 2026-10-22
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