The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...
Researchers from the Netherlands’ Utrecht University and EKO Instruments Europe developed a novel machine learning and all-sky imaging-based short-term solar irradiance forecasting. The model is based ...
Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...
The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems. First protein folding, now weather forecasting: London-based AI ...
Daily science news on research developments, technological breakthroughs and the latest scientific innovations ...
Long-run forecasting seems difficult, especially in light of the challenges of short-term forecasting, such as whether we’ll have a recession, if inflation will come down, or if the Ukraine war will ...
Thierry Foucault a reçu des financements du European Research Council (ERC). Since the beginning of the century, the number of satellites orbiting Earth has increased more than 800%, from less than ...
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