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 ...

As a writer for Forbes Home since 2021, Emily specializes in writing about home warranties, solar installations, car transportation and moving companies. With a background in journalism and experience ...

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 ...

Exciting advancements in solar energy are encouraging more and more folks to jump on the sustainability bandwagon and look into solar panels. Before you do so, though, you’ll need to consider whether ...