The COVID-19 pandemic emphasized the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy. Forecasting epidemic progression is a ...

Over the last few years, several machine-learned weather prediction models have emerged that show a higher level of skill than traditional physics-based models in a variety of forecast scores.

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 ...

Markets are full of predictions that cannot be checked until after the fact. Implied probability is different. It is already priced, already quantified, and therefore testable. When you translate a ...