An NJIT-led research team has developed an AI system that can spot faint warning signals of solar active regions, potential precursors to solar storms, nearly nine hours before they become visible.

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.

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 ...

Cultivate Power, Dimension Energy, and Summit Ridge Energy, three distributed energy developers committed to community solar, invest in Chicago teachers and students through hands-on solar STEM educat ...

On remote river islands in eastern India’s Assam state, solar power is helping children access education more reliably, reports Mongabay India’s Shailesh Shrivastava. Schools in Assam’s Brahmaputra ...

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 ...

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 ...

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 ...