paper
2022
Local & station forecasting
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2022-01-01
008
Jan 2022
Khder Alakkar, Mostafa Salaheldin Abdelsalam Abotaleb, Amr Ahmed Badr et al.
International journal of advances in applied computational intelligence.
Encoder-decoder LSTM outperforms attention LSTM for daily temperature, humidity and sunshine forecasts in Narmadapuram using 1977-2022 station data.
Modelling Weather Conditions Using Encoder-Decoder and Attention Based on LSTM Deep Regression Model
In one sentence. Encoder-decoder LSTM outperforms attention LSTM for daily temperature, humidity and sunshine forecasts in Narmadapuram using 1977-2022 station data.
Labels
- Topic
- Local & station forecasting
- 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:10.54216/ijaaci.010201 OpenAlex:W4293325086
- Added
- 2026-10-22
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