Complex power quality disturbances classification via curvelet transform and deep learning-Reference-Cited by-同舟云学术

Complex power quality disturbances classification via curvelet transform and deep learning

Published:2018-10 Issue: Volume:163 Page:1-9
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Liu Hui,Hussain Fida,Shen Yue^ORCID,Arif Sheeraz,Nazir Aamir,Abubakar Muhammad

Funder

National Natural Science Foundation of China

Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institute, China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference82 articles.

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3. Power quality issues concerning photovoltaic generation in distribution grids;Niitsoo;Smart Grid Renew. Energy,2015

4. Optimization of the power quality monitor number in smart grid;Wan;2014 IEEE International Conference on Smart Grid Communications (SmartGridComm),2014

5. Power quality issues and need of intelligent PQ monitoring in the smart grid environment;Laskar;2012 47th International Universities Power Engineering Conference (UPEC),2012

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