The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

Researchers at Sweden's Uppsala University have applied deep machine learning to automatically identify photovoltaic and solar-thermal systems in aerial imagery and said their work yielded mixed ...

Kicking your utility to the curb sounds like a great deal, but it's more difficult than it sounds. Here's what it takes to go off the grid with solar panels. CNET contributor Eric Mack knows all too ...