In a pilot project the researchers plan to create a portable, dual-axis canopy of approximately 150 square feet that will morph and track the sun to optimize solar energy capture.

A deep learning framework transforms decades of solar data into a unified, high-resolution view—adjusting instruments, overcoming limitations, and helping us better understand our star.

The reason this worked so well is thanks to Hubble’s consistent, long-term observations. Over more than a decade, the space ...

US renewable energy project developer Vesper Energy has commenced commercial operations at its 600 megawatts alternating ...

The first large scale solar battery hybrid power plant in Australia is feeding power into the grid well after sunset, helping ...

Last year, nearly 59% of Hawaiʻi Island’s electricity was generated by renewables — grid-scale solar, private rooftop solar, ...

Scientists observed and captured the first clear evidence of auroras on Neptune using the James Webb Space Telescope (JWST), ...

The new flagship 600-magawatt solar project is located on 3,900 acres in Swisher County and can power more than 150,000 homes ...

Scientists in Spain have proposed a novel way to calculate the structure shading factor and mismatch losses for the rear side of bifacial PV modules using one-axis trackers. They tested the new ...

Vesper Energy has cut the ribbon on Hornet Solar in Swisher County, Texas, one of the largest single-phase solar farms in the ...

Thanks to the Hubble Space Telescope, we now know that a day on Uranus lasts for 28 seconds longer than previously thought – ...

Vesper Energy announced it will hold a ribbon-cutting ceremony Thursday for Hornet Solar, noted as one of the largest ...