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 ...

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 ...

Adaptive forecasting is a term used to describe several different methods of determining the likelihood of events occurring based on statistical data and variable analysis. These forecasting methods ...

Building a good sales forecast involves techniques that fall somewhere between science and art. While it is possible to construct a rigorous objective forecasting model, the human element in sales ...

Probabilistic methods are increasingly being used to complement deterministic methods in assessing the safety and ensuring the reliability of research reactors. Addressing features specific to ...