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IBM’s machine-learning crystal ball can foresee renewable energy availability

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IBM has developed a computer system that can learn about weather from thousands of data points and predict days -- even weeks -- in advance how much power from solar and wind farms will be available for the U.S. power grid.

The new system is as much as 30% more accurate than today's state-of-the-art weather prediction systems used by organizations such as the National Weather Service, according to the National Renewable Energy Laboratory.

"It's providing a forecast for solar, wind and other environmental parameters. It learns from solar plants [and] weather stations, and constantly adjusts and improves the forecast," said Hendrik Hamann, Research Manager at the IBM T.J. Watson Research Center.

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