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kdayday/forecasting
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Generate and evaluate probabilistic solar forecasts, focusing on post-processing numerical weather prediction ensembles. Options include empirical cumulative distribution functions (CDFs) suitable for raw ensembles and persistence ensembles; Bayesian model averaging (BMA) and ensemble model output statistics (EMOS) post-processing, and some discontinued attempts at kernel density estimation and spatial aggregation with copulas (not exported).
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