New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

Abstract: Accurate long-term prediction is a crucial and challenging task in time-series analysis. The granular modeling, which can capture time-series patterns and trends by transforming them into ...

Abstract: Annual load forecasting plays a key role in the medium- and long-term planning of power systems. Since it is difficult to fully characterise the influence of meteorological factors on the ...