Solar storms and coronal mass ejections (CMEs) can disrupt everything from satellites to power grids. A new AI tool, ...

A research group led by Spain’s Valencia Polytechnic University has developed a novel single-parameter power forecasting method for residential PV installations. The proposed approach defines interval ...

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.

Solar radio bursts are pronounced emissions at radio wavelengths originating from the Sun, intricately linked with powerful solar activities such as solar flares and coronal mass ejections (CMEs).

Spire Global has extended its AI-enhanced wind and solar generation forecasting tools to the Electric Reliability Council of Texas (ERCOT), adding one of the nation’s fastest-growing power markets to ...

At the interface of AI, big data, the energy transition and mind-bogglingly complex weather systems, the ongoing supply of electricity relies on answering a deceptively simple question: Will it be ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

Data collection and analysis in solar PV installations is increasingly sophisticated, particularly relating to grid ...

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 ...