paper
2019
Local & station forecasting
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2019-06-10
004
Jun 2019
Shivangi Raj, Deepak Arora, Pooja Khanna
International Journal of Research in Advent Technology
Python workflow pulls open weather API data to forecast five days ahead at three-hour intervals; the machine learning contribution is minimal.
Implication of Machine Learning towards Weather Prediction
In one sentence. Python workflow pulls open weather API data to forecast five days ahead at three-hour intervals; the machine learning contribution is minimal.
Labels
- Topic
- Local & station forecasting
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.32622/ijrat.75201952 OpenAlex:W2971482715
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.