Anomaly detection and clustering‐based identification method for consumer–transformer relationship and associated phase in low‐voltage distribution systems-Reference-Cited by-同舟云学术

Anomaly detection and clustering‐based identification method for consumer–transformer relationship and associated phase in low‐voltage distribution systems

Published:2022-12 Issue:6 Volume:3 Page:392-402
ISSN:2634-1581
Container-title:Energy Conversion and Economics
language:en
Short-container-title:Energy Conversion and Econom

Author:

Chu Zhenyue¹^ORCID,Cui Xueyuan¹,Zhai Xingli²,Liu Shengyuan¹,Qiu Weiqiang¹,Waseem Muhammad³,Aziz Tarique¹,Wang Qin⁴,Lin Zhenzhi¹^ORCID

Affiliation:

1. School of Electrical Engineering Zhejiang University Hangzhou China

2. Jinan Power Supply Company State Grid Shandong Electric Power Corporation Limited Jinan China

3. Department of Electrical Engineering University of Engineering and Technology Taxila Taxila Pakistan

4. Electric Power Research Institute Palo Alto CA USA

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/enc2.12073

Reference34 articles.

1. Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data

2. PLC-Enabled Low Voltage Distribution Network Topology Monitoring

3. Phase identification method for single‐phase user based on adaptive piecewise cloud model;Liu S.;Autom. Electr. Power Syst,2022

4. Data‐driven based identification method of feeder‐consumer connectivity in low‐voltage distribution network;Tang J.;Autom. Electr. Power Syst,2020

5. Modeling and application of phase identification optimization for low‐voltage customer based on voltage and power data;Luo J.;Autom. Electr. Power Syst,2021

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