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 ...
A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...
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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
BOSTON - ToolsGroup has been named an industry leader in a recent QKS Group review evaluating vendors on probabilistic forecasting capabilities for retail supply chain planning, according to a company ...
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