An LSTM neural network prediction model of ultra-short-term transformer winding hotspot temperature

An LSTM neural network prediction model of ultra-short-term transformer winding hotspot temperature

Power transformers are crucial components in power systems, widely used across various applications. The hotspot temperature of transformer oil winding is a key indicator of the transformer’s heat dissipation efficiency. Predicting the top oil temperature accurately is essential for effective monito...

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Bibliographic Details
Main Authors:	Kun Yan, Jingfu Gan, Yizhen Sui, Hongzheng Liu, Xincheng Tian, Zehan Lu, Ali Mohammed Ali Abdo
Format:	Article
Language:	English
Published:	AIP Publishing LLC 2025-03-01
Series:	AIP Advances
Online Access:	http://dx.doi.org/10.1063/5.0213051
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