A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders.
Callum O'DonovanCinzia GiannettiGrazia TodeschiniPublished in: ICAART (2) (2021)
Keyphrases
- deep learning
- classification method
- power quality disturbance
- restricted boltzmann machine
- deep belief networks
- decision trees
- signal processing
- wavelet transform
- denoising
- power quality
- unsupervised learning
- machine learning
- text classification
- knn
- support vector machine svm
- k nearest neighbor
- weakly supervised
- power system
- support vector machine
- mental models
- classification algorithm
- image processing
- multiscale
- learning algorithm
- pattern recognition
- electric power
- support vector
- small number
- training data
- single phase
- feature extraction