paper
2023
Local & station forecasting
Applications & impacts New model or method
CNN / U-NetRNN / LSTM / ConvLSTM6 h–3 daysUniversity of Cambridge (Aardvark) Journal
2023-05-17
028
May 2023
Yiming Zhang, Hao Wang
Energy
University of Cambridge (Aardvark)
A probabilistic CNN-BiLSTM with multi-head attention forecasts day-ahead wind speed for energy use; the abstract was unavailable, so the claim is limited.
Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting
In one sentence. A probabilistic CNN-BiLSTM with multi-head attention forecasts day-ahead wind speed for energy use; the abstract was unavailable, so the claim is limited.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.energy.2023.127865 OpenAlex:W4376880182
- Added
- 2026-10-22
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