Explainable AI for identifying global solar-weather regimes using UMAP-HDBSCAN and SHAP across climate zones

zin lin, ohn, Štěpanec, Libor, Hnin Yee Aye, Juchelkova, Dagmar

Open source

DOI
10.5281/zenodo.22907546
Published
2026
Container
Not recorded
Publisher
Elsevier
Open access
yes

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BibTeX

@article{allodium:10.5281/zenodo.22907546,
  title = {Explainable AI for identifying global solar-weather regimes using UMAP-HDBSCAN and SHAP across climate zones},
  author = {zin lin, ohn and Štěpanec, Libor and Hnin Yee Aye and Juchelkova, Dagmar},
  year = {2026},
  doi = {10.5281/zenodo.22907546},
  url = {https://doi.org/10.5281/zenodo.22907546}
}

RIS

TY  - JOUR
TI  - Explainable AI for identifying global solar-weather regimes using UMAP-HDBSCAN and SHAP across climate zones
AU  - zin lin, ohn
AU  - Štěpanec, Libor
AU  - Hnin Yee Aye
AU  - Juchelkova, Dagmar
PY  - 2026
DO  - 10.5281/zenodo.22907546
UR  - https://doi.org/10.5281/zenodo.22907546
ER  - 

APA

ohn, Z. L., Libor, Š., Aye, H. Y., & Dagmar, J. (2026). Explainable AI for identifying global solar-weather regimes using UMAP-HDBSCAN and SHAP across climate zones. https://doi.org/10.5281/zenodo.22907546

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