paper
2017
Applications & impacts
Review, survey or tutorial
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2017-05-01
028
May 2017
Cyril Voyant, Gilles Notton, Soteris Kalogirou et al.
Renewable Energy
Reviews machine learning for solar radiation forecasting, a renewable energy application rather than atmospheric science.
Applications & impactsClassic
Machine learning methods for solar radiation forecasting: A review
In one sentence. Reviews machine learning for solar radiation forecasting, a renewable energy application rather than atmospheric science.
Labels
- Topic
- Applications & impacts
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.renene.2016.12.095 OpenAlex:W2569349941
- Added
- 2026-10-22
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