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 ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

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 ...

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

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 ...

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 ...

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 ...

In the 20 years since Hurricane Katrina devastated New Orleans, hurricane scientists have made great strides toward understanding how climate change influences tropical cyclones, at the same time as ...