Multivariable neural network to postprocess short‐term, hub‐height wind forecasts
Abstract This work introduces a novel error correction method for short‐term, hub‐height wind speed forecasting systems aimed at power output prediction. We present a multivariable neural network that is trained to reduce the error in wind speed predictions out of a numerical weather prediction (NWP...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2022-07-01
|
| Серии: | Energy Science & Engineering |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1002/ese3.928 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|