DeepMind's AI is predicting how much energy Google's wind turbines will produce

Google's subsidiary DeepMind has created a machine-learning model to boost the use of wind power by predicting its likely output 36 hours ahead. Drawbacks: Although the adoption of wind power has grown thanks to cheaper turbine costs, it will always suffer from unpredictability. That limits it compared with other energy sources that can reliably deliver power at a set time. An experiment: To help solve this problem, last year DeepMind started building algorithms to boost the efficacy of Google's wind farms in the US, according to a blog post. Researchers trained a neural network on weather forecasts and past turbine data, so it could predict power output 36 hours ahead.