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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-03-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0213051 |
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