With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.

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

Active weather spans much of the Western Hemisphere on Thursday, December 12. Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

The devastation of Hurricane Katrina sparked sweeping changes in hurricane forecasting and emergency preparedness. Forecast models, satellite imagery, and real-time data from Hurricane Hunter aircraft ...

Umeå University researcher Maquins Sewe has established links between patterns of malaria in Kenya and environmental factors (temperature, rainfall and land cover) measurable by satellite imagery. In ...