Customer-Phase Identification in Low-Voltage Distribution Networks Prone to Data Losses Using Machine Learning-based Algorithms-Reference-Cited by-同舟云学术

Customer-Phase Identification in Low-Voltage Distribution Networks Prone to Data Losses Using Machine Learning-based Algorithms

Published:2023-12-19 Issue: Volume: Page:
ISSN:
Container-title:2023 24th International Middle East Power System Conference (MEPCON)
language:
Short-container-title:

Author:

Mugerwa Geofrey¹,Elsabrouty Maha²,Megahed Tamer F.¹,Abdelkader Sobhy M.¹

Affiliation:

1. Egypt-Japan University of Science and Technology New Borg El-Arab City,Department of Electrical Power Engineering,Alexandria,Egypt,21934

2. Egypt-Japan University of Science and Technology New Borg El-Arab City,Department of Electronics and Communications Engineering,Alexandria,Egypt,21934

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10462248/10462249/10462394.pdf?arnumber=10462394

Reference19 articles.

1. Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review

2. Reduction of Power Losses Using Phase Load Balancing Method in Power Networks Based on the Selective Probabilistic Discrete Particle Swarm Optimization

3. Phase topology identification in low-voltage distribution networks: A Bayesian approach

4. Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems;Zaragoza;TechRxiv,2022

5. Voltage Based Phase Identification Method, Robustness and Validation

Cited by 1 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. Advancements in data-driven voltage control in active distribution networks: A Comprehensive review;Results in Engineering;2024-09