Renewable energy is the future, but at present no one is tracking just who’s got solar panels on their roof, in their back yard, or a shared neighborhood installation. Fortunately, solar panels ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

Today IBM Research announced that solar and wind forecasts produced using machine learning and other cognitive computing technologies are proving to be as much as 30 percent more accurate than ones ...

Some students who want to learn about solar energy equipment installation will see tuition bills go down at Hudson Valley Community College. On Wednesday, school officials announced a partnership with ...

Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

As solar and wind energy ramps up in the United States, the industries have gotten better at installing and operating their facilities. This experience can be seen in how the facilities are financed.