paper
2022
Applications & impacts
Extremes & hazards New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2022-04-04
018
Apr 2022
Jiale Li, Zihao Song, Xuefei Wang et al.
Energy
PSO-optimized Bi-LSTM with VMD decomposition predicts typhoon wind speed at offshore wind farms; abstract unavailable, so accuracy is unreported.
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
In one sentence. PSO-optimized Bi-LSTM with VMD decomposition predicts typhoon wind speed at offshore wind farms; abstract unavailable, so accuracy is unreported.
Labels
- Topic
- Applications & impacts, Extremes & hazards
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.energy.2022.123848 OpenAlex:W4225243270
- Added
- 2026-10-22
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