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.

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

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 ...

A good solar monitoring system doesn’t just track your solar panel’s output — it also helps you use less energy. We looked for solar monitoring systems that go above and beyond tracking and found ...

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 ...