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Xingang Zhao

University of Tennessee, Knoxville

851 Neyland Drive

Knoxville, TN 37909

United States

  • University of Tennessee, Knoxville

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Scholarly Papers (1)

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Data Efficiency Assessment of Generative Adversarial Networks in Energy Applications

Number of pages: 20 Posted: 11 Jan 2025
Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, William Gurecky, Pradeep Ramuhalli and Majdi Radaideh
affiliation not provided to SSRN, Government of the United States of America - Idaho National Laboratory, University of Tennessee, Knoxville, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory and University of Michigan at Ann Arbor
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Abstract:

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Generative AI, Generative Adversarial Network, Critical Heat Flux, Data Augmentation, Power Grid Energy Forecasting