Google's DeepMind is using machine learning to predict wind turbine energy production

Google's DeepMind is using machine learning to predict the performance of its wind turbines 36 hours in advance. The prediction of wind turbine performance for turbines in the central United States more than a day in advance has led to a roughly 20 percent increase in the value of wind energy, Google and DeepMind said in a joint blog post today. The model is trained using weather data and historical wind turbine performance data. "Based on these predictions, our model recommends how to make optimal hourly delivery commitments to the power grid a full day in advance. This is important, because energy sources that can be scheduled (i.e. can deliver a set amount of electricity at a set time) are often more valuable to the grid," the post reads.