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

But using AI is still extremely tempting because the alternative is a computational atmospheric circulation model, which is extremely compute-intensive. Still, it’s highly successful, with the ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

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 ...

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 ...

Google DeepMind and Google Research today announced WeatherNext 2 as its “most advanced and efficient forecasting model.” Notably, it’s helping power forecasts in Google’s consumer apps, including ...

Weather forecasting has evolved significantly, employing sophisticated numerical models and artificial intelligence. These tools aim to provide accurate and timely predictions. However, even the most ...

With one hurricane after another brewing in the Atlantic, you might be seeing some weird-looking forecast maps with lots of straggly lines predicting the tracks of both storms. These maps are ...