A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

Author:

Taghvaie Amir1ORCID,Warnakulasuriya T.1ORCID,Kumar Dinesh2ORCID,Zare Firuz1ORCID,Sharma Rahul3ORCID,Vilathgamuwa D. Mahinda1ORCID

Affiliation:

1. School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia

2. Global Research and Development Center, Danfoss Drives A/S, Grasten, Denmark

3. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 3 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. Design of Industrial and Commercial Systems based on Neural Networks;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

2. GAMS-Based Harmonics Estimation Technique for Reliable Harmonics Analysis of Power Signals;2023 North American Power Symposium (NAPS);2023-10-15

3. Harmonic Source Identification in Microgrid using TQWT and SVM Classifier;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

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