Research on Power Line Loss Degree Prediction Model Based on Artificial Neural Network-Reference-Cited by-同舟云学术

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Research on Power Line Loss Degree Prediction Model Based on Artificial Neural Network

Published:2024-04-26 Issue: Volume:10 Page:01-04
ISSN:
Container-title:2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
language:
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Author:

Liu Shengchun¹,Zhang Jie²,Zhang Shikun³,Zhu Junze⁴

Affiliation:

1. Qinghai Dehong Electric Power Technology,Xining,Qinghai,China

2. State Grid Qinghai Electric Power Company,Xining,Qinghai,China

3. School of Mathematical and Physical Science, North China Electric Power University,Changping, Beijing,China

4. Datang Xiangcheng (Derong) Hydropower Development,Xiangcheng,Sichuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548017/10548035/10548097.pdf?arnumber=10548097

Reference16 articles.

1. Joint Optimization for Multicast Provisioning in Mixed-Line-Rate Optical Networks With a Column Generation Approach

2. Reduction of power system losses in transmission lines using optimization technique;Ngang;International Journal of Engineering Science,2021

3. Hybrid Electric Propulsion

4. Rate-accuracy optimized quantization algorithm based on ROI image coding in power line inspection

5. Forecasting the seepage loss for lined and un-lined canals using artificial neural network and gene expression programming

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