paper
2023
Local & station forecasting
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2023-03-01
008
Mar 2023
Yoga Estu Nugraha Nugraha, Ishak Ariawan, Willdan Aprizal Arifin
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI
An LSTM forecasts temperature, humidity, rainfall and wind speed from Serang maritime station data, with best RMSE of 0.37 for temperature.
WEATHER FORECAST FROM TIME SERIES DATA USING LSTM ALGORITHM
In one sentence. An LSTM forecasts temperature, humidity, rainfall and wind speed from Serang maritime station data, with best RMSE of 0.37 for temperature.
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:10.51903/jtikp.v14i1.531 OpenAlex:W4323045976
- Added
- 2026-10-22
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