A growing wave of gamified tools is making solar energy education more interactive, from virtual simulations and quizzes to hands-on installations and kinetic play spaces. These platforms merge ...

An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells. As we ...

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 ...

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.

Exciting news hits Hingham, Mass., when middle school science teacher Andrea Stuart finds a simple way to introduce solar power to her students. According to an article published in the Boston Globe ...

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...

The annual ITRPV report was published this week, offering a snapshot of the latest technological trends shaping the industry.

An astonishing 82% decrease in the cost of solar photovoltaic (PV) energy since 2010 has given the world a fighting chance to build a zero-emissions energy system which might be less costly than the ...

Two companies are constructing a 1MW solar PV plant in Thailand using various combinations of technologies in order to set up a learning centre and advisory board to help solar developers across the ...