paper
2021
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)0–6 hNOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2021-07-23
043
Jul 2021
Laura Riihimaki, Xinya Li, Zhangshuan Hou et al.
Solar Energy
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Integrates observed cloud characteristics with machine learning to improve prediction of surface solar irradiance variability at a site.
Improving prediction of surface solar irradiance variability by integrating observed cloud characteristics and machine learning
In one sentence. Integrates observed cloud characteristics with machine learning to improve prediction of surface solar irradiance variability at a site.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1016/j.solener.2021.07.047 OpenAlex:W3185987761
- Added
- 2026-10-22
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