Is the Energy Sector Embracing Artificial Intelligence?

 

Artificial Intelligence (AI) could be a huge opportunity for the energy industry — and AES, an energy and electricity company — isn’t passing up the chance to benefit from this new technology.

Greentechmedia.com writes, “AES manages 36 gigawatts of energy capacity across 17 countries and employs 19,000 people. The company, which generated $14 billion in revenue last year, is also building another nearly 5 gigawatts of energy capacity and has been growing its energy storage division focused on selling battery systems.”

And this large player in the energy space is quickly adopting AI. AES has been tinkering with advanced neural network design, natural language processing and machine intelligence.

As the site explained, AI can be overlayed on existing assets. For example, assets, like a solar or battery farm, produce a lot of data, and AI tools can take all that data and use it to run the farm more efficiently at a lower cost, or to produce more power.

Artificial intelligence was a hot topic at the 2017 Environmental Leader Conference and Energy Management Summit, where Lang Lawrence, energy manager for Raytheon Missile Systems (RMS), described how the global defense company is using artificial intelligence and integrating peak shaving techniques to meet energy efficiency goals.

And as reported earlier this year, the Google’s DeepMind, the AI arm of the tech giant, is in talks the UK’s National Grid to use AI to help balance energy supply and demand in Britain. National Grid’s role in balancing power on the grid has become more challenging in recent years, as intermittent renewable sources of electricity — including wind and solar power — have become a bigger part of Britain’s energy mix. DeepMind’s algorithms could help the utility to more accurately predict demand patterns and help balance the national energy system more efficiently, the two companies believe.

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