MACHINE LEARNING
This optimisation can ensure that less energy is spent balancing , less energy is wasted , and therefore , less is needed to power the grid .
“ One of the most important ways AI is improving energy production and efficiency is that it ’ s enabling us to redistribute energy across the grid in such a way that you can have up to 50 % of energy optimisation in terms of use and consumption ,” explains Elena Morettini , Global Head Sustainable Business at Globant .
This may not only help reduce emissions , but counterintuitively , may actually become more of a necessity for the grid as other elements of our world – EVs , solar power , wind turbines – become more common .
“ ML is going to be central to scalable , affordable energy solutions , no matter the size of your business ”
ELENA MORETTINI GLOBAL HEAD , SUSTAINABLE BUSINESS , GLOBANT
Sustainability makes ML a necessity Many of the world ’ s power grids were originally designed for a world dominated by petrol-powered cars . Therefore , a surge in demand for the soon-to-be millions of EVs plugged in every night will represent a massive shock that many systems frankly cannot handle . aimagazine . com 103