A team of scientists from around the world has created the first system that can predict when and where extremely powerful ...

A peer-reviewed study published in the Journal of Geophysical Research: Space Physics has established a method to forecast ...

Solar storms and coronal mass ejections (CMEs) can disrupt everything from satellites to power grids. A new AI tool, PINNBARDS, developed by Southwest Research Institute (SwRI) and NSF-NCAR, can now ...

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

Scientists develop a forecasting system that predicts high-risk windows and regions for solar superflares, using 50 years of X-ray data and machine learning techniques.

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. A truly sustainable future requires solar power, but trying to ...

The pace of utility-scale solar additions is set to nearly double in H2 2025, with the EIA forecasting 21.3GW across the US. Chart: EIA. The US Energy Information Administration (EIA) has forecast ...