The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...

Global weather models form the foundation of much of the available solar irradiance and power forecasting, and are typically sourced from publicly funded weather agencies, including the European ...

A new artificial intelligence (AI) model can predict major weather events faster and more accurately than some of the world's most widely used forecasting systems. The model, called Aurora, is trained ...

For the first time in its 70 years of existence, the National Hurricane Center incorporated AI weather model guidance in its ...

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

Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

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 ...

Presented by Anass El Aouni, Oceanographer and machine learning (ML) researcher, and Quentin Gaudel, ML Systems Architect, OceanBench establishes a unified standard to evaluate AI models against ...

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 ...