Daily Load Profiles Clustering of Regional Distribution Grid 6-10 kV
Author:
Affiliation:
1. T.F. Gorbachev Kuzbass State Technical University,Mining Industry Digital Transformation Laboratory,Kemerovo,Russia
2. LLC Gubkin University,RTSoft Smart Grid,Moscow,Russia
Funder
Ministry of Science and Higher Education of the Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10347555/10347542/10347686.pdf?arnumber=10347686
Reference13 articles.
1. A review on clustering of residential electricity customers and its applications
2. Electricity Pattern Analysis by Clustering Domestic Load Profiles Using Discrete Wavelet Transform
3. Clustering Techniques for Secondary Substations Siting
4. Modeling daily load curves of the elements of 6-10 kv urban power distribution networks under conditions of limited input information
5. Random clustering analysis in deterministic DG-based distribution planning
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