Nature

Two forecasting model selection methods based on time series image feature augmentation

Accurate forecasting of food commodity prices is one of the most challenging yet crucial tasks for agricultural economists. Timely and reliable price predictions not only support market participants ...
Nature

Wind speed prediction based on variational mode decomposition and advanced machine learning models in zaafarana, Egypt

Wind energy has become a key answer to the world’s energy problems, providing a clean and sustainable option instead of relying on fossil fuels. Enhancing wind energy systems and energy management is ...
Microsoft

From sea to sky: Microsoft’s Aurora AI foundation model goes beyond weather forecasting

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...