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How digital twins can accelerate the global transition from fossil fuels to clean energy

SHARJAH, UNITED ARAB EMIRATES, JUL 28 – Researchers identify key challenges in AI digital twins limiting their accuracy in modeling wind, solar, geothermal, hydroelectric, and biomass energy systems, urging improved data and methods.

Summary by TechXplore
As the world grapples with the urgent need to reduce carbon emissions and combat climate change, researchers at the University of Sharjah are turning to a cutting-edge technology that could reshape the future of energy: AI-powered digital twins.

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TechXplore broke the news in on Monday, July 28, 2025.
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