Some good answers in the thread below, but... 1. This is all observational data - even if you have all the features in the domain it's pretty clear that you wo

Some good answers in the thread below, but... 1. This is all observational data - even if you have all the features in the domain it's pretty clear that you won't have seen all of the generative theory. 2. You don't have all the features because the features change, renewable power suddenly makes average wind conditions relevant, and so on. 3. This domain is clearly chaotic; you can induce the various attractors and theories, but you cannot measure the conditions well enough to predict the shift between attractors. There are many people who are using ML to predict closed parts of the financial world where they have an deep and well founded understanding and excellent data. But there are lots and lots of people who are feeding data into models and getting good results and then going on good runs who are going to get a shock.