Google and DeepMind have begun testing machine learning on Google's wind turbines, which are part of the company's renewable energy projects. Earlier last year, they added weather forecasts and existing turbine data to DeepMind's machine learning platform, which triggered wind forecasts 36 hours prior to actual power generation. Google could then make delivery commitments to power networks the day before delivery. This predictability makes it easier and more attractive to make energy networks dependent on wind energy, thereby increasing Google's wind energy by around 20 percent.
Not just about how machine learning can increase energy The use of wind energy is an example of how machine learning is used meaningfully. You solve critical problems and not just jump into your text thread to recommend a restaurant when you talk about tapas. For DeepMind, it is a high caliber use of its technology and proof that it is not just for professional players StarCraft II .