Complementary Feature Extractions for Event Identification in Power Systems Using Multi-Channel Convolutional Neural Network
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- Heng-Yi Su & Tzu-Yi Liu, 2017. "A PMU-Based Method for Smart Transmission Grid Voltage Security Visualization and Monitoring," Energies, MDPI, vol. 10(8), pages 1-16, July.
- Fan Yang & Robert C. Qiu & Zenan Ling & Xing He & Haosen Yang, 2019. "Detection and Analysis of Multiple Events Based on High-Dimensional Factor Models in Power Grid," Energies, MDPI, vol. 12(7), pages 1-16, April.
- Ji-Song Hong & Gi-Do Sim & Joon-Ho Choi & Seon-Ju Ahn & Sang-Yun Yun, 2020. "Fault Location Method Using Phasor Measurement Units and Short Circuit Analysis for Power Distribution Networks," Energies, MDPI, vol. 13(5), pages 1-23, March.
- Mojgan Hojabri & Ulrich Dersch & Antonios Papaemmanouil & Peter Bosshart, 2019. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems," Energies, MDPI, vol. 12(23), pages 1-23, November.
- Carlo Olivieri & Francesco de Paulis & Antonio Orlandi & Cosimo Pisani & Giorgio Giannuzzi & Roberto Salvati & Roberto Zaottini, 2020. "Estimation of Modal Parameters for Inter-Area Oscillations Analysis by a Machine Learning Approach with Offline Training," Energies, MDPI, vol. 13(23), pages 1-20, December.
- Yue Shen & Muhammad Abubakar & Hui Liu & Fida Hussain, 2019. "Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems," Energies, MDPI, vol. 12(7), pages 1-26, April.
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Keywords
synchrophasor; phasor measurement unit (PMU); event classification; successive event; convolutional neural network (CNN);All these keywords.
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