Uncovering Solar Energy Projections: Bayesian Model Analysis Across Seasons
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Embark on a journey through Bayesian modeling in California, unraveling the complexities of solar radiation predictions. Discover the significance of covariates and seasonal variations, as well as the posterior distribution of model coefficients. Delve into the uncertainty associated with regridding and linear model prediction, gaining valuable insights. Explore prediction coverage, evaluating the accuracy of prediction intervals. This study provides a nuanced understanding of solar energy predictions, particularly in California's diverse climate.