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.
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Digital twins are reinventing clean energy — but there’s a catch
Researchers are exploring AI-powered digital twins as a game-changing tool to accelerate the clean energy transition. These digital models simulate and optimize real-world energy systems like wind, solar, geothermal, hydro, and biomass. But while they hold immense promise for improving efficiency and sustainability, the technology is still riddled with challenges—from environmental variability and degraded equipment modeling to data scarcity and…
How digital twins can accelerate the global transition from fossil fuels to clean energy
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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