Solar energy is being leveraged around the world. Researchers develop AI tool that could transform future of solar energy: 'Demonstrates significant promise' first appeared on The Cool Down.

Ten years ago, solar panels were made mostly in the United States, Germany, and Japan. Chinese manufacturers made almost none. But by 2006, the Chinese company Suntech Power had the capacity to make ...

Renewable energy is the future, but at present no one is tracking just who’s got solar panels on their roof, in their back yard, or a shared neighborhood installation. Fortunately, solar panels ...

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.

How can machine learning help determine the best times and ways to use solar energy? This is what a recent study published in Advances in Atmospheric Sciences hopes to address as a team of researchers ...

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 ...

Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

As manufacturers of solar cells face pressure to drive down costs, they are turning to higher-volume automated manufacturing, accompanied by high-speed inspection to increase yields and improve the ...

Japan's PXP Corp., a startup developing chalcopyrite and perovskite solar technologies, and Suntory Holdings, a Japanese brewing company, have started a one-year trial to investigate the performance ...

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 ...