Unsupervised Deep Learning and Analysis of Harmonic Variation Patterns using Big Data from Multiple Locations
Journal article, 2021
autoencoder
unsupervised deep learning
big data analytics
variation data
clustering
pattern analysis
Electric Power distribution
power quality
power system harmonics
Author
Chenjie Ge
Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering
Roger Alves De Oliveira
Luleå University of Technology
Irene Yu-Hua Gu
Chalmers, Electrical Engineering
Math H. J. Bollen
Luleå University of Technology
Electric Power Systems Research
0378-7796 (ISSN)
Vol. 194 107042Areas of Advance
Energy
Subject Categories
Energy Systems
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1016/j.epsr.2021.107042