Real-Time Power Quality Disturbance Classification Using Convolutional Neural Networks
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4597-3_64
Reference18 articles.
1. Luo L et al (2017) Design and application of power quality monitoring system for the smart substation based on IEC 61850. CIRED-Open Access Proc J 2017(1):577–580
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3. Mishra M (2019) Power quality disturbance detection and classification using signal processing and soft computing techniques: a comprehensive review. Int Trans Electr Energy Syst 29(8):e12008
4. Li J et al (2016) Detection and classification of power quality disturbances using double resolution S-transform and DAG-SVMs. IEEE Trans Instrum Meas 65(10):2302–2312
5. Wang J, Xu Z, Che Y (2019) Power quality disturbance classification based on DWT and multilayer perceptron extreme learning machine. Appl Sci 9(11):2315
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