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 ...

Scientists need to put more effort and resources into developing deep-learning forecasting models that consider the morphology of PV panels, a group of academics led by the University of Cambridge ...

BOSTON--(BUSINESS WIRE)--Sunwealth, the innovative clean energy investment firm delivering market-rate returns and wider-reaching social and environmental impact, today announced the completion of the ...

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 ...

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 ...