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 ...

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 ...

Solar panels can produce electricity from fossil fuels and renewable energy that is not nuclear power, and it will also be possible to save household electricity bills. From the households installed ...

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...

The work was supported by Descartes Labs https://descarteslabs.com/, who provided the cloud computation infrastructure, and World Resources Institute, who provided ...

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 ...

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 ...

Members of the Centre of Excellence in Exciton Science based at RMIT, Monash University and Australia’s national science agency CSIRO have removed human error from ...