You would need utility scale storage to flatten the load curve. The peaks and super peaks are not going away until there is a viable storage mechanism with enough capacity. We are talking significant changes in demand between even the early afternoon and the super peak in almost all load areas (pjm California ercot). The other alternative is a massive buildout or behind the meter solar which theoretically could solve this issue.

What the above poster is suggesting is adjusting demand dynamically based on price. That requires consumers to throttle their own usage (probably using automated systems that know the real-time price of electricity). You can run the dishwasher or charge your car or cool your home when electricity is cheap.

I’m not sure there is enough play in demand elasticity to affect significant change relative to the amount of load difference you see. Furthermore the peaks are highly weather sensitive. Would love to be proven wrong though.

There's not much play in demand at the moment, but there could be if more systems were aware of the price of electricity. A/C can be turned off, cars can stop charging, dishes can wait, etc.

Variation in renewable energy generation can be reduced by averaging over larger geographic areas. Wind speeds and cloud cover vary much more on local scales than on continent-wide scales.

A combination of demand adjustment and linking of power generation over large geographic areas can reduce the need for energy storage.