Explainable AI for identifying global solar-weather regimes using UMAP-HDBSCAN and SHAP across climate zones
- DOI
- 10.5281/zenodo.22907546
- Published
- 2026
- Container
- Not recorded
- Publisher
- Elsevier
- Open access
- yes
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Cite this work
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