Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping-Reference-Cited by-同舟云学术

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Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping

Published:2018-12 Issue:6 Volume:33 Page:3162-3172
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Liao Huilian^ORCID,Milanovic Jovica V.^ORCID,Rodrigues Marcos,Shenfield Alex^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/61/8540965/08439023.pdf?arnumber=8439023

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2. Local Distributed Node for Power Quality Event Detection Based on Multi-Sine Fitting Algorithm;Sensors;2024-04-12

3. An algorithm for the classification of power quality disturbance signals using a tunable-Q-factor wavelet transform and ensemble learning methodology;Electrical Engineering;2024-02-29

4. Three-Phase Distortion Analysis based on Space-Vector Locus Diagrams;WSEAS TRANSACTIONS ON POWER SYSTEMS;2023-12-31

5. Clarke Circuit Analysis for Space-Vector Ellipse Characterization of Phase-to-Ground Faults in Three-Phase Radial Systems;WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS;2023-12-31

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