> Using a neural network trained on widely available weather forecasts and historical turbine data, we configured the DeepMind system to predict wind power output 36 hours ahead of actual generation.

Interesting. Something I've long wondered about:

- Many wind farms are located in very specific places that have measured high winds and are otherwise good places to locate a wind farm.

- Global climate change is changing local climates too. Are the studies that were done 10-20 years ago to discover ideal wind farm locations no longer as accurate as they used to be?

- How are wind farm locations decided today? Is there is skill in predicting where a wind farm might be optimally located in 5 years rather than where it should be located today? Or if not (since probably not) what are the right risk mitigation actions to take if you are planning a wind farm but unsure about location?

- Since Machine Learning is useful in improving the value of the existing wind power, could it also be useful in this endeavor, finding optimal wind power generation locations?

- Lastly, is this something a person could research at home with open data and code? Just curious. :)