An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System-Reference-Cited by-同舟云学术

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An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System

Published:2021 Issue: Volume: Page:1-1
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Xu Yijun,Mili Lamine,Korkali Mert,Valinejad Jaber,Wang Yajun,Chen Xiao,Zheng Zongsheng

Funder

National Science Foundation

U.S. Department of Energy

Sichuan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/4374138/09582801.pdf?arnumber=9582801

Cited by 11 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. Topology Identification of Distribution Networks With Partial Smart Meter Coverage;IEEE Transactions on Power Delivery;2024-04

2. Observability Analysis and State Estimation of Distribution Network;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

3. Power System Topology Optimization Method Based on Maximum Connectivity Subgraph;2023 3rd International Conference on Intelligent Power and Systems (ICIPS);2023-10-20

4. Multi-Stage Voltage Sag State Estimation Using Event-Deduction Model Corresponding to EF, EG, and EP;IEEE Transactions on Power Delivery;2023-04

5. Phase topology identification in low-voltage distribution networks: A Bayesian approach;International Journal of Electrical Power & Energy Systems;2023-01

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