paper
2022
Local & station forecasting
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2022-11-18
008
Nov 2022
K. Venkatachalam, Pavel Trojovský, Dragan Stevan Pamucar et al.
Expert Systems with Applications
DWFH hybrid uses transductive LSTM for deep weather forecasting; abstract missing, so classification relies on the title alone.
DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (T-LSTM)
In one sentence. DWFH hybrid uses transductive LSTM for deep weather forecasting; abstract missing, so classification relies on the title alone.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Status
- Research
- Identifiers
- DOI:10.1016/j.eswa.2022.119270 OpenAlex:W4309694784
- Added
- 2026-10-22
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