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A critical review of detection and classification of power quality events

Citations

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  1. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Power quality recognition in distribution system with solar energy penetration using S-transform and Fuzzy C-means clustering," Renewable Energy, Elsevier, vol. 106(C), pages 37-51.
  2. Prakash Mahela, Om & Gafoor Shaik, Abdul, 2016. "Topological aspects of power quality improvement techniques: A comprehensive overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1129-1142.
  3. Ferhat Ucar & Jose Cordova & Omer F. Alcin & Besir Dandil & Fikret Ata & Reza Arghandeh, 2019. "Bundle Extreme Learning Machine for Power Quality Analysis in Transmission Networks," Energies, MDPI, vol. 12(8), pages 1-26, April.
  4. Shao, Han & Henriques, Rui & Morais, Hugo & Tedeschi, Elisabetta, 2024. "Power quality monitoring in electric grid integrating offshore wind energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  5. Nantian Huang & Hua Peng & Guowei Cai & Jikai Chen, 2016. "Power Quality Disturbances Feature Selection and Recognition Using Optimal Multi-Resolution Fast S-Transform and CART Algorithm," Energies, MDPI, vol. 9(11), pages 1-21, November.
  6. Vojtech Blazek & Michal Petruzela & Tomas Vantuch & Zdenek Slanina & Stanislav Mišák & Wojciech Walendziuk, 2020. "The Estimation of the Influence of Household Appliances on the Power Quality in a Microgrid System," Energies, MDPI, vol. 13(17), pages 1-21, August.
  7. Küçüker, Ahmet & Baraklı, Burhan & Bayrak, Gökay & Başaran, Kıvanç & Balaban, Georgiana, 2025. "A new intelligent power quality disturbance classification in renewable and decentralized hydrogen-based energy systems using SwResNET hybrid model," Renewable Energy, Elsevier, vol. 250(C).
  8. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2015. "A review of distribution static compensator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 531-546.
  9. María Pérez-Ortiz & Silvia Jiménez-Fernández & Pedro A. Gutiérrez & Enrique Alexandre & César Hervás-Martínez & Sancho Salcedo-Sanz, 2016. "A Review of Classification Problems and Algorithms in Renewable Energy Applications," Energies, MDPI, vol. 9(8), pages 1-27, August.
  10. Azcarate, I. & Gutierrez, J.J. & Lazkano, A. & Saiz, P. & Redondo, K. & Leturiondo, L.A., 2016. "Towards limiting the sensitivity of energy-efficient lighting to voltage fluctuations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1384-1395.
  11. Michele Zanoni & Riccardo Chiumeo & Liliana Tenti & Massimo Volta, 2021. "Advanced Machine Learning Functionalities in the Medium Voltage Distributed Monitoring System QuEEN: A Macro-Regional Voltage Dips Severity Analysis," Energies, MDPI, vol. 14(23), pages 1-25, November.
  12. Xianyong Xiao & Wenxi Hu & Huaying Zhang & Jingwen Ai & Zixuan Zheng, 2018. "An Adaptive Approach for Voltage Sag Automatic Segmentation," Energies, MDPI, vol. 11(12), pages 1-17, December.
  13. Eslami, Ahmadreza & Negnevitsky, Michael & Franklin, Evan & Lyden, Sarah, 2022. "Review of AI applications in harmonic analysis in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
  14. Khokhar, Suhail & Mohd Zin, Abdullah Asuhaimi B. & Mokhtar, Ahmad Safawi B. & Pesaran, Mahmoud, 2015. "A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1650-1663.
  15. Igual, R. & Medrano, C., 2020. "Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
  16. Luis A. Romero-Ramirez & David A. Elvira-Ortiz & Rene de J. Romero-Troncoso & Roque A. Osornio-Rios & Angel L. Zorita-Lamadrid & Sergio L. Gonzalez-Gonzalez & Daniel Morinigo-Sotelo, 2022. "Spectral Kurtosis Based Methodology for the Identification of Stationary Load Signatures in Electrical Signals from a Sustainable Building," Energies, MDPI, vol. 15(7), pages 1-19, March.
  17. Michał Gwóźdź & Łukasz Ciepliński, 2021. "An Algorithm for Calculation and Extraction of the Grid Voltage Component," Energies, MDPI, vol. 14(16), pages 1-12, August.
  18. Shao, Han & Henriques, Rui & Morais, Hugo & Tedeschi, Elisabetta, 2026. "Attention-enhanced residual networks for real-time multi-label power quality disturbance classification with fast iterative filtering," Applied Energy, Elsevier, vol. 406(C).
  19. Samet, Haidar, 2016. "Evaluation of digital metering methods used in protection and reactive power compensation of micro-grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 260-279.
  20. Wajahat Ullah Khan Tareen & Muhammad Aamir & Saad Mekhilef & Mutsuo Nakaoka & Mehdi Seyedmahmoudian & Ben Horan & Mudasir Ahmed Memon & Nauman Anwar Baig, 2018. "Mitigation of Power Quality Issues Due to High Penetration of Renewable Energy Sources in Electric Grid Systems Using Three-Phase APF/STATCOM Technologies: A Review," Energies, MDPI, vol. 11(6), pages 1-41, June.
  21. Misael Lopez-Ramirez & Eduardo Cabal-Yepez & Luis M. Ledesma-Carrillo & Homero Miranda-Vidales & Carlos Rodriguez-Donate & Rocio A. Lizarraga-Morales, 2018. "FPGA-Based Online PQD Detection and Classification through DWT, Mathematical Morphology and SVD," Energies, MDPI, vol. 11(4), pages 1-15, March.
  22. Zhang, Liangheng & Jiang, Congmei & Pang, Aiping & He, Yu, 2024. "Super-efficient detector and defense method for adversarial attacks in power quality classification," Applied Energy, Elsevier, vol. 361(C).
  23. Tümay, Mehmet & Demirdelen, Tuğçe & Bal, Selva & Kayaalp, Rahmi İlker & Doğru, Burcu & Aksoy, Mahmut, 2017. "A review of magnetically controlled shunt reactor for power quality improvement with renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 215-228.
  24. Hasan EroÄŸlu & Osman KurtuluÅŸ & Ozay Can, 2025. "Decision making methods used for improving power quality to meet the sustainable energy targets," Energy & Environment, , vol. 36(1), pages 499-539, February.
  25. David Lumbreras & Eduardo Gálvez & Alfonso Collado & Jordi Zaragoza, 2020. "Trends in Power Quality, Harmonic Mitigation and Standards for Light and Heavy Industries: A Review," Energies, MDPI, vol. 13(21), pages 1-24, November.
  26. Yljon Seferi & Steven M. Blair & Christian Mester & Brian G. Stewart, 2021. "A Novel Arc Detection Method for DC Railway Systems," Energies, MDPI, vol. 14(2), pages 1-21, January.
  27. Ferhat Ucar & Omer F. Alcin & Besir Dandil & Fikret Ata, 2018. "Power Quality Event Detection Using a Fast Extreme Learning Machine," Energies, MDPI, vol. 11(1), pages 1-14, January.
  28. Wang, Shouxiang & Chen, Haiwen, 2019. "A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network," Applied Energy, Elsevier, vol. 235(C), pages 1126-1140.
  29. Misael Lopez-Ramirez & Luis Ledesma-Carrillo & Eduardo Cabal-Yepez & Carlos Rodriguez-Donate & Homero Miranda-Vidales & Arturo Garcia-Perez, 2016. "EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments," Energies, MDPI, vol. 9(7), pages 1-15, July.
  30. Manuel Jesús Hermoso-Orzáez & Alfonso Gago-Calderón & José Ignacio Rojas-Sola, 2017. "Power Quality and Energy Efficiency in the Pre-Evaluation of an Outdoor Lighting Renewal with Light-Emitting Diode Technology: Experimental Study and Amortization Analysis," Energies, MDPI, vol. 10(7), pages 1-13, June.
  31. Sang-Keun Moon & Jin-O Kim & Charles Kim, 2019. "Multi-Labeled Recognition of Distribution System Conditions by a Waveform Feature Learning Model," Energies, MDPI, vol. 12(6), pages 1-14, March.
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