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Four ways AI is making the power grid faster and more resilient

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By illuminem briefings 🌎

· 2 min read


Illuminem summarizes for you the essential news of the day. Read the full piece on MIT Technological Review or enjoy below:

🗞️ Driving the news: The integration of AI in power grid management is transforming how electricity is supplied and managed
• The power grid's complexity is increasing with the addition of renewable energy sources, making grid management more challenging. In managing this increasing complexity, AI can aid in 4 main respects: it can ensure faster and better decision-making, provide a bespoke approach for every home, make EVs work with the grid, and spot disasters before they hit

🔭 The context: Traditionally, a few large power plants reliably supplied electricity, but today's grid sees a diverse mix of millions of solar panels and other renewable sources
• These variable energy sources, coupled with unpredictable weather, create a complex challenge
• AI’s capability to process vast data and complex scenarios makes it an ideal solution for maintaining grid stability

🌍 Why it matters for the planet: The use of AI in grid management is crucial for integrating renewable energy sources effectively, facilitating a transition to cleaner energy  
• AI-driven solutions help in better predicting energy needs, managing EV charging demands, and enhancing overall grid efficiency, contributing to reduced carbon emissions and a more sustainable energy future

⏭️ What's next: While the potential for a fully automated grid is being explored, significant hurdles such as security risks and data privacy concerns remain  
• Experts emphasize the need for a balanced approach where AI complements human decision-making in grid operations, rather than replacing it entirely

💬 One quote: “The power grid has to follow a very rigorous physical law,” says Feng Qiu, highlighting the limitations and risks of relying solely on AI for grid management

📈 One stat: AI-driven models can perform complex grid calculations 12 times faster than traditional methods, reducing a nearly 10-minute process to just 60 seconds

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