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Prediction of top-oil temperature for transformers using neural networks

  • Published:2000 Issue:4 Volume:15 Page:1205-1211
  • ISSN:0885-8977
  • Container-title:IEEE Transactions on Power Delivery
  • language:
  • Short-container-title:IEEE Trans. Power Delivery

Author:

He Q.,Si J.,Tylavsky D.J.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 64 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Penetration game strategy of high dynamic vehicles with constraints of No-fly zones and interceptors;Engineering Applications of Artificial Intelligence;2024-10

2. Top oil temperature prediction at a multiple time scale for power transformers based on adaptive extended Kalman filter;Frontiers in Energy Research;2024-08-22

3. Harmonics impact on hotspot temperature increment of distribution transformers: Nonuniform magnetic-thermal approach;International Journal of Electrical Power & Energy Systems;2024-06

4. Heavy Overload Transformer Oil Temperature Prediction Method Based on Multivariate Spatio-Temporal Convolutional Network;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

5. Forecasting of Winding and Oil Temperatures in Power Transformers Using a Hybrid Deep Learning Model With Attention Feedback;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13
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