paper
2021
Local & station forecasting
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2021-02-15
008
Feb 2021
International Journal of Advanced Trends in Computer Science and Engineering
Compares kNN, random forest, SVR, Holt-Winters and ARIMA for univariate hourly wind speed forecasting at Yanbu, Saudi Arabia.
Univariate Time Series Prediction of Wind speed with a case study of Yanbu, Saudi Arabia
In one sentence. Compares kNN, random forest, SVR, Holt-Winters and ARIMA for univariate hourly wind speed forecasting at Yanbu, Saudi Arabia.
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:10.30534/ijatcse/2021/361012021 OpenAlex:W4253434930
- Added
- 2026-10-22
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