Abstract
In this study, we introduce the recently developed WRF-solar ensemble prediction system and a calibration method. The performances of forecast models are evaluated using the National Solar Radiation Database observational analysis for day-Ahead solar irradiance predictions. The results demonstrate that the ensemble forecast improves the quality of the forecasts by considering the uncertainty of each ensemble member. The analog ensemble calibration contributed to the reduction of positive bias and an overall improvement in the probabilistic attributes, such as reliability and statistical consistency.
| Original language | English |
|---|---|
| Pages (from-to) | 141-144 |
| Number of pages | 4 |
| Journal | IEEE Journal of Photovoltaics |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2022 |
Keywords
- Analog ensemble (AnEn)
- National Solar Radiation Database (NSRDB)
- day-Ahead forecast
- ensemble forecast
- probabilistic forecast
- stochastic perturbation
- weather research and forecasting (WRF) solar
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