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

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British Columbia shows that ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...