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

The sea temperature in the South China Sea has a significant impact on the regional marine ecosystem as well as the high-impact ocean-atmosphere events. Therefore, accurate forecasting of ocean ...

A research team led by Prof. LI Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep ...

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

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

It was only a generation or two ago that weather forecasts were not to be taken too seriously: funny-guy meteorologists on the local news wisecracking about ruined golf plans. That has long stopped ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...