A bi-level mode decomposition framework for multi-step wind power forecasting using deep neural network
The proportion of wind energy in global energy structure is growing rapidly, promoting the development of wind power forecasting (WPF) technologies to solve the uncertainty and intermittence of wind power generation. However, the nonlinear and stochastic features of wind power time series restrain t...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2024-07-01
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| Серии: | Energy Conversion and Management: X |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2590174524001284 |
| Метки: |
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