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Conferences > Sensors > 2022 > SM1C > SM1C.5

In-core Temperature Forecasting by Random Forest Modeling in Extreme Harsh Environment

Jingyu Wu, Mohan Wang, Kehao Zhao, Rongtao Cao, David Carpenter, Guiqiu Zheng, Steven Derek Rountree, and Kevin P. Chen

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Abstract

This paper proposed accurate in-core distributed temperature predictions by random forest modeling based on optical measurements. The prediction error is within 3.6% of the temperature swing in the extremely harsh environment.

© 2022 The Author(s)

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