Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process-Reference-Cited by-同舟云学术

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Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process

Published:2023-03 Issue:2 Volume:14 Page:1317-1320
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Cao Di¹^ORCID,Zhao Junbo²^ORCID,Hu Weihao¹^ORCID,Liao Qishu¹^ORCID,Huang Qi¹^ORCID,Chen Zhe³^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA

3. Department of Energy Technology, Aalborg University, Aalborg, Denmark

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/10049220/09877862.pdf?arnumber=9877862

Reference9 articles.

1. Multi-task Gaussian process prediction;bonilla;Proc Int Conf Adv Neural Inf Process Syst,2008

2. Data-Driven Learning-Based Optimization for Distribution System State Estimation

3. Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning

4. Linear Programming Contractor for Interval Distribution State Estimation Using RDM Arithmetic

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1. Distribution System State Estimation Based on Power Flow-Guided GraphSAGE;Energies;2024-08-28

2. Normalizing Flows-based Probabilistic Learning-Aided Distribution System State Estimation;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

3. Robust Multiarea Distribution System State Estimation Based on Structure-Informed Graphic Network and Multitask Gaussian Process;IEEE Transactions on Industrial Informatics;2024-08

4. Forecasting-Aided Graphical Learning for Robust State Estimation of Distribution System;Lecture Notes in Electrical Engineering;2024

5. Interval State Estimation Based on an Approximate Model of Distribution Network;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

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