Scientists sometimes compare predicting the course of epidemics to forecasting the weather. But there's a major ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Forecasting multivariate time series is a cornerstone for countless applications, ranging from weather prediction to energy consumption management in today’s data-driven world. While effective to a ...

Multivariate time series forecasting has wide applications such as traffic flow prediction, supermarket commodity demand forecasting and etc., and a large number of forecasting models have been ...

Machine Learning is widely used for classification and forecasting problems on time series problems. When there is a predictive model to predict an unknown variable; where time acts as an independent ...