paper
2020
Local & station forecasting
Application study
RNN / LSTM / ConvLSTM6 h–3 days Journal
2020-05-06
004
May 2020
D. T. Hoang
International Journal for Research in Applied Science and Engineering Technology
LSTM trained on NOAA station parameters (temperature, humidity, pressure, wind) on AWS predicts good or bad weather conditions; a small-scale applied study.
Weather prediction based on LSTM model implemented AWS Machine Learning Platform
In one sentence. LSTM trained on NOAA station parameters (temperature, humidity, pressure, wind) on AWS predicts good or bad weather conditions; a small-scale applied study.
Labels
- Topic
- Local & station forecasting
- Type
- Application study
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.22214/ijraset.2020.5046 OpenAlex:W4241626125
- Added
- 2026-10-22
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