Employing machine learning for advanced gap imputation in solar power generation databases.

Costa T, Falcão B, Mohamed MA, Annuk A, Marinho M

DOI: 10.1038/s41598-024-74342-3
Published: 2024 Oct 11
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-74342-3,
  title = {Employing machine learning for advanced gap imputation in solar power generation databases.},
  author = {Costa T and Falcão B and Mohamed MA and Annuk A and Marinho M},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-74342-3},
  url = {https://doi.org/10.1038/s41598-024-74342-3}
}

RIS

TY  - JOUR
TI  - Employing machine learning for advanced gap imputation in solar power generation databases.
AU  - Costa T
AU  - Falcão B
AU  - Mohamed MA
AU  - Annuk A
AU  - Marinho M
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-74342-3
UR  - https://doi.org/10.1038/s41598-024-74342-3
ER  -

APA

T, C., B, F., MA, M., A, A., & M, M. (2024). Employing machine learning for advanced gap imputation in solar power generation databases.. Scientific reports. https://doi.org/10.1038/s41598-024-74342-3

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pubmed · retrieved 2026-09-25T12:22:41.845Z