K-Medoids clustering applications for high-dimensionality multiphase probabilistic power flow-Reference-Cited by-同舟云学术

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K-Medoids clustering applications for high-dimensionality multiphase probabilistic power flow

Published:2024-06 Issue: Volume:157 Page:109861
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Sobrinho Campolina Martins Antônio,Ramos de Araujo Leandro,Rosana Ribeiro Penido Débora

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Universidade Federal de Juiz de Fora

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Instituto Nacional de Energia Elétrica

Publisher

Elsevier BV

Reference50 articles.

1. Review of probabilistic load flow approaches for power distribution systems with photovoltaic generation and electric vehicle charging;Ramadhani;Int J Electr Power Energy Syst,2020

2. Probabilistic load flow in distribution networks: An updated and comprehensive review with a new classification proposal;Abbasi;Electr Pow Syst Res,2023

3. Borkowska B. Probabilistic Load Flow. IEEE Trans on Power Apparatus and Syst 1974;PAS-93:752–9. https://doi.org/10.1109/TPAS.1974.293973.

4. Probabilistic power flow analysis with generation dispatch including photovoltaic resources;Fan;IEEE Trans Power Syst,2013

5. Investigating distributed generation systems performance using monte carlo simulation;El-Khattam;IEEE Trans Power Syst,2006

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. Probabilistic power flow computation using Liouville–Gaussian copula and nested cubature rule;Computers and Electrical Engineering;2024-12

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