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

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

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

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 ...

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 ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can relate ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

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 ...