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Data Science and its applications immediately make me think of logistics finances retail and other sectors, but as we transition to using greener sources of energy eg: wind, solar, tidal, hydro and nuclear data science will serve a massive role making correct choices for our energy sources in different regions.
As we already know there is no one green source of energy that can meet all needs and be available for use at any given time eg: solar energy cant be produced at night wind energy cant be produced in dry and low wind areas and so on but our grid is in continuous need of energy and we need ways to make available energy when these sources can't produce enough energy and this is where predicting demand of energy in the grid at different times of the day can be useful to better understand the energy needs of the region. Data Science can also help analyze weather patterns to ascertain if wind and solar energy would prove to be have good return on investments and also help ascertain energy storage needs of the region.