Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Today's solar flare forecasting is pretty straightforward. Earth has several instruments pointed at the sun that monitor it, and when a solar flare erupts, NOAA predicts whether it'll hit Earth and ...

The new open-source AI model, Surya, is trained on nine years of satellite imagery data and can accurately predict the sun's activity up to two hours into the future. It's 16% more effective than any ...