DeepMind, Google’s artificial intelligence lab based in London, is in discussions with National Grid about how artificial intelligence can help balance the SUPPLY and demand of electricity in the UK, the FINANCIAL Times reported.
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DeepMind’s chief executive, Demis McGrath, said: “We are not going to be able to do that. “We are in preliminary discussions with National Grid and other big power suppliers to see how we can help address the various issues they face,” Demis Hassabis, the head of the energy and energy industry, told the Financial Times. “If you can save 10 percent of the UK’s electricity usage by optimizing it without putting in any new infrastructure, that would be amazing and very exciting.”
National Grid operates and owns the infrastructure that distributes electricity to all parts of the UK. The company plays a vital role in ensuring there is enough power to meet demand across the UK at all times.
However, in recent years it has become more difficult for National Grid to fulfil its role in balancing supply and demand on the grid, as intermittent renewable energy sources such as wind and solar have become an important part of the UK’s energy mix.
DeepMind’s algorithms can predict demand patterns more accurately and balance supply and demand in the UK’s national electricity system more effectively.
A DeepMind spokesman said: “Predictive machine learning has great potential to help power systems reduce their environmental impact. One really interesting prospect is whether we can use machine learning to predict peaks in electricity demand and supply, thereby helping National Grid maximise its use of renewable energy.” He added that the company was in the process of exploring “a possible partnership”.
A National Grid spokesman said: “We are in the early stages of exploring the potential of working with DeepMind and looking at what opportunities they can offer us.”
“We’re always happy to see how the latest developments in technology will improve our capabilities, ensure we’re taking full advantage of renewable energy and help bill payers save money,” he said.
Last July, DeepMind, based in London, announced that its machine learning algorithm had reduced power consumption at Google data centres by 15 per cent.
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DeepMind’s smart algorithms were able to more effectively predict the load on cooling systems and control equipment in Google’s data centres, reducing the amount of electricity used for cooling by 40 per cent. Analysts estimate that could save Google hundreds of millions of dollars over the next few years.
“Because it’s working so well, we’ve scaled it up across Google, but we’d like to see it on a scale like National Grid,” hassabis said. We see no reason why the same technology that you can use in a data center can’t be used in a country’s power grid.”