Prediction of the Thermal Rating of Overhead Conductor Based on the Improved BP Neural Network-Reference-Cited by-同舟云学术

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Prediction of the Thermal Rating of Overhead Conductor Based on the Improved BP Neural Network

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Electrical Engineering, Control and Robotics (EECR)
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Author:

Zhang Gang¹,Dai Jianqiang¹,Zhao Long¹,Li Shan¹,Li Zhongkai¹,Lin Jian¹,Cui Guozhu¹,Wang Shihao²

Affiliation:

1. State Grid Linyi Power Supply Company,Linyi,China

2. Shandong University,School of Electrical Engineering,Jinan,China

Funder

State Grid Shandong Electric Power Company

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149891/10149908/10150019.pdf?arnumber=10150019

Reference10 articles.

1. Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

2. Probabilistic forecasting for the ampacity of overhead transmission lines using quantile regression method;wei;2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC),2016

3. Improvement of safety operating conditions in overhead conductors based on ampacity modeling using artificial neural networks;fernandez martinez;2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC),2019

4. Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability

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