HIL Testbed-based Auto Feature Extraction and Data Generation Framework for ML/DL-based Anomaly Detection and Classification
Author:
Affiliation:
1. Iowa State University,Department of Electrical and Computer Engineering,Ames,IA,United States,50010
Funder
Iowa Energy Center
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10454113/10454115/10454202.pdf?arnumber=10454202
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4. Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids
5. Efficient creation of datasets for data-driven power system applications;Venzke;Electric Power Systems Research,2021
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