The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can ...

BOULDER, Colo. – OpenSnow, a trusted source for the most accurate U.S. weather forecasts, snow reports, and AI-powered weather maps, is launching first-of-their-kind new tools this winter that ...

My print column examines the proliferation of statistical forecasting models for the Academy Awards, which will be handed out on Sunday night. After quantitative predictions did well in forecasting ...