Just small changes in starting conditions can result in big changes to forecasts,” said Ken Mylne, Met Office Science Fellow ...
Probability-based forecasts can better inform weather-based decision-making, according to new Met Office research.
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 ...
Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...
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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 ...
Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with effectively modeled probabilities.
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 ...