paper
2020
Local & station forecasting
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2020-04-28
004
Apr 2020
T. Malathi, M. A. P. Manimekalai
INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Feature selection study for machine-learning weather forecasting; abstract unavailable, so contribution is unclear and likely incremental.
FEATURE SELECTION TECHNIQUES FOR WEATHER FORECASTING MODELS USING MACHINE LEARNING TECHNIQUES
In one sentence. Feature selection study for machine-learning weather forecasting; abstract unavailable, so contribution is unclear and likely incremental.
Labels
- Topic
- Local & station forecasting
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.34218/ijeet.11.4.2020.049 OpenAlex:W3203838871
- Added
- 2026-10-22
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