المؤلفون: M. S. Priyadarshini, Mohit Bajaj, Ievgen Zaitsev

المصدر: Scientific Reports, Vol 15, Iss 1, Pp 1-27 (2025)

مصطلحات موضوعية: Energy distribution curves, Error analysis, Wavelet packet analysis, Signal decomposition, Mother wavelet selection, Power quality disturbance detection, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/7e74869a4ff041d885e99ab1066c819f

المؤلفون: Zhi Ding, Tianyao Ji, Mengshi Li, Q. H. Wu

المصدر: CSEE Journal of Power and Energy Systems, Vol 10, Iss 2, Pp 584-592 (2024)

مصطلحات موضوعية: Hadamard matrix, mathematical morphology, morphological clustering, power quality disturbance, Walsh theory, Technology, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10322711/; https://doaj.org/toc/2096-0042

URL الوصول: https://doaj.org/article/70f8ab20697b425c8d22ea7201d7f141

المؤلفون: Sairam Mishra, Ranjan Kumar Mallick, Debadatta Amaresh Gadanayak, Pravati Nayak, Renu Sharma, Aymen Flah, Lukas Prokop, Habib Kraiem, Mohammad Kanan

المصدر: IEEE Access, Vol 12, Pp 130833-130856 (2024)

مصطلحات موضوعية: Convolutional neural network, deep learning, power quality disturbance classification, scaled matrix image, unique Clark’s transformed sequence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10643039/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b1fd8d3ff82f4a998a384d060a293b5f

المؤلفون: Joaquín E. Caicedo, Olga Zyabkina, Edwin Rivas, Jan Meyer

المصدر: Applied Sciences, Vol 14, Iss 23, p 11031 (2024)

مصطلحات موضوعية: low-voltage (LV) network, power quality disturbance (PQD), six-pulse controlled rectifier, voltage notch, waveform distortion, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/23/11031; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/8fcd1a7b1af84f8eb36733b611b95355

المؤلفون: Ning Li, Longhui Zhu, Yixin Li

المصدر: Energy Reports, Vol 9, Iss , Pp 512-521 (2023)

مصطلحات موضوعية: Power quality disturbance, IEWT, PCHIP, NDQ, SVD, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484723008223; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/a85667e69a234f60b44d3c93f570a90b

المؤلفون: Yanhui Xi, Xule Li, Feng Zhou, Xin Tang, Zewen Li, Xiangjun Zeng

المصدر: Energy Science & Engineering, Vol 11, Iss 9, Pp 3232-3249 (2023)

مصطلحات موضوعية: classification, Kalman filter, lightweight convolution neural network, multiple power quality disturbance, Technology, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2050-0505

URL الوصول: https://doaj.org/article/818ffeaff5c844ce8c8a09cb9f6c444a

المؤلفون: Ahmad Alvi Syahrin, Dimas Okky Anggriawan, Eka Prasetyono, Epyk Sunarno, Endro Wahjono, Indhana Sudiharto, Suhariningsih Suhariningsih

المصدر: Jurnal Rekayasa Elektrika, Vol 20, Iss 1 (2024)

مصطلحات موضوعية: anfis, detection, fft, power quality disturbance, rms variations, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://jurnal.usk.ac.id/JRE/article/view/33695; https://doaj.org/toc/1412-4785; https://doaj.org/toc/2252-620X

URL الوصول: https://doaj.org/article/82393cdc4b544557ad3527ffdddbe54a

المؤلفون: Zihang Ruan, Wenxi Hu, Xing Ma, Xianyong Xiao, Lei Lei, Huizi Liu

المصدر: IET Generation, Transmission & Distribution, Vol 17, Iss 13, Pp 3070-3083 (2023)

مصطلحات موضوعية: ensemble classification model, feature optimization, label distribution enhancement, multi‐granular, multiple power quality disturbance, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-8687; https://doaj.org/toc/1751-8695

URL الوصول: https://doaj.org/article/8a47eb79fcf249bf81f52056e47d80dc

المؤلفون: Chen Zheng, Qionglin Li, Shuming Liu, Shuangyin Dai, Bo Zhang, Yajuan Liu

المصدر: Energies, Vol 17, Iss 13, p 3227 (2024)

مصطلحات موضوعية: power quality disturbance, transient signal, convolutional neural networks, transformer network, feature fusion strategy, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/13/3227; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/b8068ac888f44de8932393d095a2b067

المؤلفون: Eduardo Perez-Anaya, Arturo Yosimar Jaen-Cuellar, David Alejandro Elvira-Ortiz, Rene de Jesus Romero-Troncoso, Juan Jose Saucedo-Dorantes

المصدر: Energies, Vol 17, Iss 4, p 852 (2024)

مصطلحات موضوعية: power quality disturbance, condition monitoring, continuous wavelet transform, convolutional neural network, Technology

Relation: https://www.mdpi.com/1996-1073/17/4/852; https://doaj.org/toc/1996-1073; https://doaj.org/article/e258a53713ed40ebb2f5801231c30a07

الاتاحة: https://doi.org/10.3390/en17040852
https://doaj.org/article/e258a53713ed40ebb2f5801231c30a07

المؤلفون: Mariana Syamsudin, Cheng-I Chen, Sunneng Sandino Berutu, Yeong-Chin Chen

المصدر: Energies, Vol 17, Iss 6, p 1396 (2024)

مصطلحات موضوعية: power quality disturbance, data compression, classification, convolutional neural network, distributed power system, Technology

Relation: https://www.mdpi.com/1996-1073/17/6/1396; https://doaj.org/toc/1996-1073; https://doaj.org/article/bccdad45dbb24f6aab9947fd9e58d5cf

الاتاحة: https://doi.org/10.3390/en17061396
https://doaj.org/article/bccdad45dbb24f6aab9947fd9e58d5cf

المؤلفون: Mingping Liu, Yue Chen, Zhen Zhang, Suhui Deng

المصدر: IEEE Access, Vol 11, Pp 890-899 (2023)

مصطلحات موضوعية: Power quality disturbance, classification, segmented and modified S-transform, deep convolutional neural network, multiclass support vector machine, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10004963/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f3eeae969bfa4e139d291ac5173ec0d9

المؤلفون: Poras Khetarpal, Neelu Nagpal, Mohammed S. Al-Numay, Pierluigi Siano, Yogendra Arya, Neelam Kassarwani

المصدر: IEEE Access, Vol 11, Pp 46026-46038 (2023)

مصطلحات موضوعية: Power quality monitoring, power quality disturbance, deep auto-encoders, optimal feature extraction, power quality event detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10122522/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/814e9a5c3d0f4eb69439d19180f31c31

المؤلفون: Xiangui Xiao, Kaicheng Li, Chen Zhao

المصدر: Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 6, Pp 1902-1911 (2023)

مصطلحات موضوعية: Signal compression, power quality disturbance, Huffman coding, run-length coding, wavelet analysis, sparse decomposition, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Renewable energy sources, TJ807-830

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10106618/; https://doaj.org/toc/2196-5420

URL الوصول: https://doaj.org/article/9058b7cd1bf84f7ba5e6499660ebd818

المؤلفون: Dewan Feng

المصدر: Tehnički Vjesnik, Vol 30, Iss 6, Pp 1920-1928 (2023)

مصطلحات موضوعية: deep belief network, embedded parallel computing, long-short term memory, power quality disturbance, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://hrcak.srce.hr/file/446411; https://doaj.org/toc/1330-3651; https://doaj.org/toc/1848-6339

URL الوصول: https://doaj.org/article/772fed713d4c411f80b720524b0e3260

المؤلفون: Dong-Hee Yoon, Jonghee Yoon

المصدر: IEEE Access, Vol 10, Pp 44660-44668 (2022)

مصطلحات موضوعية: Artificial intelligence, convolutional neural network, deep learning, electric power system, fault detection, power quality disturbance, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9763506/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/63582dc83cb444a3a741cf04010eaa26

المؤلفون: Rajat Kumar, Abhinav Saxena, Raj Kumar, Sanjay Marwaha, Jay Singh, Gyanendra Kumar Singh

المصدر: IEEE Access, Vol 10, Pp 91963-91975 (2022)

مصطلحات موضوعية: Energy concentration, power quality monitoring, power quality disturbance, Stockwell transform, time-frequency analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9868768/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/2e3361fc69af4053962a4b869eb25ed3

المؤلفون: Gonzalez-Abreu, Artvin-Darien, Osornio-Rios, Roque Alfredo, Elvira-Ortiz, David-Alejandro, Jaen-Cuellar, Arturo Yosimar, Delgado-Prieto, Miguel, Antonino-Daviu, José Alfonso

المساهمون: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials

مصطلحات موضوعية: Novelty detection, Machine learning, Power quality disturbance, Wind generation, Photovoltaic generation, INGENIERIA ELECTRICA

Relation: Sensors; https://doi.org/10.3390/s23062908; http://hdl.handle.net/10251/205061; urn:eissn:1424-8220; PMC10058131

الاتاحة: http://hdl.handle.net/10251/205061
https://doi.org/10.3390/s23062908

المؤلفون: Rajender Kumar Beniwal, Manish Kumar Saini, Anand Nayyar, Basit Qureshi, Akanksha Aggarwal

المصدر: IEEE Access, Vol 9, Pp 83507-83534 (2021)

مصطلحات موضوعية: Power quality disturbance, detection and classification, smart grid, IoT, signal processing, artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9447748/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/48a16b3affe1497cb7071c691d8c5b20

المؤلفون: Xin Xia, Chuanliang He, Yingjie Lv, Bo Zhang, ShouZhi Wang, Chen Chen, Haipeng Chen

المصدر: Frontiers in Energy Research, Vol 10 (2022)

مصطلحات موضوعية: distributed compressed sensing, power quality disturbance classification, bidirectional long-short memory network, edge algorithm and cloud edge collaboration, parameter optimization, DDPG algorithm, General Works

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2022.874351/full; https://doaj.org/toc/2296-598X

URL الوصول: https://doaj.org/article/cbb539a3effd453085521de4b88f464c