https://www.engadget.com/2019/02/26/google-machine-learning-wind-power

Wind power has become increasingly popular, but its success is
limited by the fact that wind comes and goes as it pleases, making it hard for
power grids to count on the renewable energy and less likely to fully embrace
it. While we can't control the wind, Google has an idea for the next best thing:
using machine learning to predict it.

Google and DeepMind have started testing machine learning on Google's own wind
turbines, which are part of the company's renewable energy projects. Beginning
last year, they fed weather forecasts and existing turbine data into DeepMind's
machine learning platform, which churned out wind power predictions 36 hours
ahead of actual power generation. Google could then make supply commitments to
power grids a full day before delivery. That predictability makes it easier and
more appealing for energy grids to depend on wind power, and as a result, it
boosted the value of Google's wind energy by roughly 20 percent.

The National Weather Service predicts wind speed and direction
multiple days in advance. I assume that DeepMind has the potential to improve
wind forecasts for the NWS also. I assume that the people at the NWS know this.
Seems like there is the possibility of lots of predictions and lots of data
being fed into DeepMind. Not just wind data.

Thanks to Brad Kushner.