The London based artificial intelligence firm is looking to use cutting edge technology in the renewable energy sector.
Alphabet's DeepMind, an artificial intelligence firm, has used machine learning to boost the productivity of wind energy. In a blogpost Tuesday, DeepMind's Carl Elkin and Sims Witherspoon, together with Google's Will Fadrhonc, described how in 2018 DeepMind and Google had started to apply"machine learning algorithms to 700 megawatts of wind power capacity in the central United States.
The model could then make recommendations on"how to make optimal hourly delivery commitments to the power grid a full day in advance." DeepMind described this as important, noting that sources of energy that can"deliver a set amount of electricity at a set time" were often more valuable to the grid. In the renewable energy sector, tools such as this could become crucial, given that sources like the sun and wind do not promise a constant stream of power.
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