Hot-Spot Temperature Forecasting of the Instrument Transformer Using an Artificial Neural Network-Reference-Cited by-同舟云学术

Hot-Spot Temperature Forecasting of the Instrument Transformer Using an Artificial Neural Network

Published:2020 Issue: Volume:8 Page:164392-164406
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Juarez-Balderas Edgar Alfredo,Medina-Marin Joselito^ORCID,Olivares-Galvan Juan C.^ORCID,Hernandez-Romero Norberto,Seck-Tuoh-Mora Juan Carlos^ORCID,Rodriguez-Aguilar Alejandro^ORCID

Funder

Consejo Nacional de Ciencia y Tecnología (CONACYT) in coordination with the Postgrado de CIATEQ, A. C., Mexico

Universidad Autónoma del Estado de Hidalgo

Universidad Autónoma Metropolitana

company Arteche North America, S. A. de C. V

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09186082.pdf?arnumber=9186082

Cited by 22 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. Inversion Method for Transformer Winding Hot Spot Temperature Based on Gated Recurrent Unit and Self-Attention and Temperature Lag;Sensors;2024-07-21

2. Thermal Analysis of Cast Resin Dry-Type Transformers Based on Finite Element Method;2024 IEEE Electrical Insulation Conference (EIC);2024-06-02

3. Artificial neural network-based cooling capacity estimation of various radiator configurations for power transformers operated in ONAN mode;Thermal Science and Engineering Progress;2024-05

4. 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

5. Transformer hot spot temperature estimation through adaptive neuro fuzzy inference system approach;Heliyon;2024-02