paper
2020
Local & station forecasting
Software, scaling & compression New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2020-10-01
004
Oct 2020
Lavanya K V, Sathyan Venkatanarayanan, Anay Anand Bhoraskar
International Journal of Web Services Research
Proposes a streaming pipeline in which an LSTM continuously learns from live OpenWeatherMap feeds via Kafka to forecast temperature and precipitation for agriculture; no quantitative results reported.
Real-Time Weather Analytics
In one sentence. Proposes a streaming pipeline in which an LSTM continuously learns from live OpenWeatherMap feeds via Kafka to forecast temperature and precipitation for agriculture; no quantitative results reported.
Labels
- Topic
- Local & station forecasting, Software, scaling & compression
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.4018/ijwsr.2020100102 OpenAlex:W3091965409
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.