paper
2018
Applications & impacts
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2018-02-28
008
Feb 2018
Jin-Hwa Jeong, Young-Tae Chae
한국생활환경학회지
Random Forest, ANN and SVM forecast photovoltaic output from forecast weather and predicted solar radiation, with Random Forest performing best.
Improvement for Forecasting of Photovoltaic Power Output using Real Time Weather Data based on Machine Learning
In one sentence. Random Forest, ANN and SVM forecast photovoltaic output from forecast weather and predicted solar radiation, with Random Forest performing best.
Labels
- Topic
- Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.21086/ksles.2018.02.25.1.119 OpenAlex:W2808443909
- Added
- 2026-10-22
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