What is The News About?
Amazon is turning to AI and machine learning techniques to better utilize new battery storage systems, This may allow for improvements in how carbon-free electricity is dispatched onto the grid at times when the sun isn’t shining or the wind isn’t blowing.
A large corporation may be able to lower its emissions with the help of artificial intelligence (AI) technologies such as battery storage forecasting systems. A 2.5 MW battery energy storage unit is located in Amazon’s San Bernardino Air Hub, and the business is also developing an AI model to use data from this facility. This model has the potential to help other areas of the business and beyond by providing predictive insights on site performance and energy generation.
Why Is It Important?
To make greater use of their new battery storage systems, Amazon is relying on AI and ML techniques. Along with solar panels, the business is installing them. When the sun isn’t shining or the wind isn’t blowing, this could lead to better methods of delivering carbon-free electricity onto the system. To top it all off, Amazon and its partners are working on predictive models that take into account future weather and other factors to determine the optimal time to transfer power to the grid or store it in on-site batteries.
Even with these improvements, the impending spike in data center energy consumption may still be too much.
Power consumption from new data centers created to manage the generative AI surge and other components of a decarbonized economy is expected to outstrip the efficiency and usage of battery storage, even with the help of AI and ML.
Benefits
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- AI is getting a reputation for being an energy hog, despite its widespread acclaim as a game-changer.To promote AI in a good light, Amazon is highlighting the fact that the technology has dual purposes.Increase energy use and also assist businesses in discovering new ways to conserve power.Tech executives and many lawmakers view AI with mixed feelings.On one hand, it could lead to innovative solutions for reducing emissions, but on the other, its power demands pose problems.
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