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 ...

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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 ...

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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Financial forecasting is the act of estimating future financial outcomes for a business or an investment. It is a critical process in financial planning and decision-making. It employs statistical ...

Saksman's research deals with several mathematical problem areas that involve probabilistic questions in various setups. These include probabilistic methods in mathematical physics, analysis and ...

B2B sales forecasting is challenging because most B2B companies lack the large sales volumes required for statistical forecasting techniques. As a consequence, those companies that care about their ...