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

Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for smaller organizations with limited resources. Over the last year, we’ve seen ...

Nvidia, Google, and a growing list of startups are using AI to make weather reports more accurate—and show the world how ...

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 ...

As a meteorologist, improvements to our forecasting come from higher resolution satellites, more rapid information, and ...

Learn how economic forecasting uses GDP, inflation, and key indicators to project future economic trends and inform business ...