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.

What happens when you leverage technologies like IBM’s artificial intelligence engine Watson for clean power? The answer is the awesomely named Watt-sun project, a machine learning platform that IBM ...

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 ...

Solar power is an important source of renewable energy. Therefore, in several projects, Statistic Netherlands carries out research with which we can improve the estimate of the total amount of solar ...

About 60 school districts in Minnesota use solar energy, and they now have access to a complementary curriculum to go along with their arrays. The Rural Renewable Energy Alliance, along with other ...

FORECAST AND BEYOND. COMING UP, NEW ON WYFF NEWS FOUR AT NOON. ALL SPARTANBURG COUNTY SCHOOL DISTRICTS WILL BE ON E-LEARNING DAYS FOR THE NEXT BIG SOLAR ECLIPSE THAT’S HAPPENING APRIL EIGHTH. ALL ...