Transformer surface temperature based on VMD-BiGRU-MHA prediction method research

Fen Yang; Jiangyan Chen; Lei Xia

doi:10.1117/12.3037541

27 September 2024 Transformer surface temperature based on VMD-BiGRU-MHA prediction method research

Fen Yang, Jiangyan Chen, Lei Xia

Author Affiliations +

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132751U (2024) https://doi.org/10.1117/12.3037541
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

Increase Accuracy of Transformer Ground Temperature Prediction, this paper proposes a new approach to forecast transformer earth temperature using Variable Mode Decay (VMD), two-way gated recurrence (BGRU) and multi-attention mechanism (MHA). In the VMD-BiGRU-MHA model, firstly, an environmental monitoring device is built to obtain the weather data near the transformer and eliminate the weakly correlated parameters, and then the raw data are decomposed into several sub-sequences using VMD to get the more stable individual components, which are then inputted into BiGRU for training, and then finally, MHA is introduced to mine the features of the time-series long-range data of the transformer surface temperature. Thus, prediction precision is increased. Comparison between BiGRU and VMD-BiGRU indicates that the predicted error is smaller than that of VMD-BiGRU.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fen Yang, Jiangyan Chen, and Lei Xia "Transformer surface temperature based on VMD-BiGRU-MHA prediction method research", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132751U (27 September 2024); https://doi.org/10.1117/12.3037541

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