A method for disturbance identification in power quality based on cross-attention fusion of temporal and spatial features-Reference-Cited by-同舟云学术

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A method for disturbance identification in power quality based on cross-attention fusion of temporal and spatial features

Published:2024-09 Issue: Volume:234 Page:110560
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Liao TianYu,Wang Wenbo^ORCID,Xing Yuanxiu

Publisher

Elsevier BV

Reference31 articles.

1. A survey on investment demand assessment models for power grid infrastructure;Li;IEEE Access,2021

2. A comprehensive review of deep-learning applications to power quality analysis;Samanta;Energies,2023

3. Current status and future trends of power quality analysis;Remigio-Carmona;Energies,2022

4. A review on intelligent detection and classification of power quality disturbances: trends, methodologies, and prospects;Yan;CMES-Comp. Model. Engineer. Sci.,2023

5. Power quality disturbance detection and classification using signal processing and soft computing techniques: a comprehensive review;Mishra;Int. Transac. Electric. Ener. Sys,2019

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