Feature selection of power system data for frequency prediction with BO-LightGBM-Boruta
Accurate grid frequency prediction is essential for the stable operation and optimized dispatch of modern power systems. However, efficiently identifying critical features that influence grid frequency prediction from high-dimensional, complex power system data remains a significant challenge. To en...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2025-09-01
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| Sarja: | Energy and AI |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S2666546825001132 |
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