A novel deep learning–based framework that dramatically improves the accuracy of forecasts, even when data are limited. The ...

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

Predictive tools At the core of weather forecasting are computer programs, or "models," that blend atmospheric variables such as temperature, humidity, wind and pressure, with fundamental physics.

Editor’s Note: The SCM capstone Forecasting Drilling Bits Demand: A New Horizon for Oil & Gas Supply Chains was authored by Thiago Pinheiro Faury and supervised by Dr. Ilya Jackson ([email protected]).

The use of multiple models is critical in the forecast creation process but is not without its pitfalls. In 2012, Hurricane Sandy made landfall in New Jersey to devastating effect.

Scientists are building a 'beyond state-of-the-art' digital model of near-Earth space to improve forecasting of solar storms and their effects on infrastructure.

Forecasting involves using models fit on historical data to predict future values. Prediction problems that involve a time component require time series forecasting, which provides a data-driven ...