Not really training as such but a device to encourage flexibility on short notice to maximise weather conditions. Those conditions are variable day to day and season to season.
If you can say to people, hey it's a windy day in the north of Scotland today so we have excess energy from renewables we can't store (because battery storage is an issue that they are being very slow to solve, partly because no one wants the storage sites built near them and partly because the previous government have done badly implementing infrastructure), so between 10am and 4pm your energy is free or 1/3rd of the price or whatever then people will adjust their usage to make the most of it. Instead of charging their car or doing their washing at 7pm, when demand is at its peak and we often have to fire up coal plants or buy in energy from France etc, they might adjust to do it earlier in the day and use the excess energy and reduce demand at peak times. But the only way to monitor and bill for that is a smart meter.
That's been happening on a smallish scale with Octopus Agile for a couple of years and the results have been pretty good. Allowing consumers to adapt usage to solve problems around excess energy and conversely lack of energy has meant that prices can be lower for many and that the reliance on dirty energy is reduced.
Last week, they paid me to use energy three days in a row as it was so windy they can't store the energy and need it to be used or they have to pay to get rid of it, or pay to switch turbines off etc.
Of course the reverse is also true on Agile wherein peak time rates tend to be a lot higher to dissuade usage, which could be an issue for those who have no choice but to use energy then.