Machine learning helps IBM boost accuracy of US Department of Energy solar forecasts by up to 30 percent
Friday, July 17, 2015 - 07:30
in Physics & Chemistry
IBM Research today revealed that solar and wind forecasts it is producing using machine learning and other cognitive computing technologies are proving to be as much as 30 percent more accurate than ones created using conventional approaches. Part of a research program funded the by the U.S. Department of Energy's SunShot Initiative, the breakthrough results suggest new ways to optimize solar resources as they are increasingly integrated into the nation's energy systems.