Just small changes in starting conditions can result in big changes to forecasts,” said Ken Mylne, Met Office Science Fellow ...
Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
Probability-based forecasts can better inform weather-based decision-making, according to new Met Office research.
Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...
Bayesian model averaging (BMA) is a popular ensemble-based postprocessing approach where the weighted average of the individual members is used to generate predictive forecasts. As the BMA formulation ...
An international research group has developed a novel intraday probabilistic forecast method for surface solar radiation. The new methodology, dubbed SolarSTEPS, is reportedly the first probabilistic ...
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Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with effectively modeled probabilities.