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This research paper presents a method for inverting the hot-spot temperature (HST) of a transformer under three-phase unbalanced conditions, utilizing a streamline inversion technique and a support vector regression (SVR) model. The study demonstrates high inversion accuracy with a maximum temperature difference of 3.71 K, validated through robust testing against experimental data. The findings highlight the effectiveness of combining multiphysics field analysis with artificial intelligence algorithms for t

Author

Lợi Trần

Language

EN