Improving wind power prediction performance using the SKB-FA-XGB method based on hybrid feature selection.

Karadol I

DOI: 10.1038/s41598-026-61099-0
Published: 2026 Jul 10
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-61099-0,
  title = {Improving wind power prediction performance using the SKB-FA-XGB method based on hybrid feature selection.},
  author = {Karadol I},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-61099-0},
  url = {https://doi.org/10.1038/s41598-026-61099-0}
}

RIS

TY  - JOUR
TI  - Improving wind power prediction performance using the SKB-FA-XGB method based on hybrid feature selection.
AU  - Karadol I
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-61099-0
UR  - https://doi.org/10.1038/s41598-026-61099-0
ER  -

APA

I, K. (2026). Improving wind power prediction performance using the SKB-FA-XGB method based on hybrid feature selection.. Scientific reports. https://doi.org/10.1038/s41598-026-61099-0

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pubmed · retrieved 2026-09-25T23:05:51.901Z