Machine learning can boost the value of wind energy | DeepMind

#Discussion(IoTStack) [ via IoTForIndiaGroup ]

Since last year, a joint DeepMind/Google project to apply machine learning to 700 MW of wind power in the central US has so far boosted the value of wind energy by ~20%. A neural net trained on weather forecasts & historical turbine data predicts wind power output 36 hours ahead of actual generation.

Based on these, our model recommends optimal hourly delivery commitments to the power grid 24 hours in advance. These wind farms—part of Google’s global fleet of renewable energy projects—collectively generate as much electricity as is needed by a medium-sized city.

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