Nature

An efficient parallel runoff forecasting model for capturing global and local feature information

Artificial intelligence has significantly accelerated the development of hydrological forecasting. However, research on how to efficiently identify the physical characteristics of runoff sequences and ...
Nature

A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model

With the rapid increase in the proportion of renewable energy installed capacity, power systems face growing challenges in integrating renewable energy. Photovoltaic (PV) power forecasting technology ...
pv magazine International

Hybrid deep learning model for PV forecasting in scenarios with considerable fluctuations

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