Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
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 ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
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 ...
Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
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