Self-organizing profiles to characterize representative temporal settings for daylight simulations

•Three datasets are investigated, expressing diverse weather and sky conditions.•Principal component analysis is employed for dimensionality reduction of datasets.•Self-organizing maps and K-means are used for two-level clustering of reduced data.•Each location showed unique clustering patterns that...

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