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Solar developers have questions about what solar database would give them more accurate results.
Since there is effectively no updated independent study that compares all databases globally, validation statistics are one of the most important tools when comparing models from different providers.
Differences between data from satellite models, pyranometers, and silicon cells. Recommended uses of each source.
Quality control procedures required to achieve a complete data quality analysis before validating datasets.
Main indicators one should be looking at when comparing solar models' accuracy: MBD, MAD, RMSD, etc.
Factors to take into account when evaluating uncertainty of solar models.
