Estimation of frequency-dependent impedances in power grids by deep lstm autoencoder and random forest
Journal article, 2021
Unsupervised deep learning
PRBS
Time-series analysis
Random forest regres-sion
Frequency-dependent grid impedance
LSTM autoencoder
Author
Azam Bagheri
Chalmers, Electrical Engineering, Electric Power Engineering
Massimo Bongiorno
Chalmers, Electrical Engineering, Electric Power Engineering
Irene Yu-Hua Gu
Chalmers, Electrical Engineering
Jan Svensson
ABB
Energies
1996-1073 (ISSN) 19961073 (eISSN)
Vol. 14 13 3829Subject Categories
Probability Theory and Statistics
Computer Vision and Robotics (Autonomous Systems)
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.3390/en14133829