Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders.
Md Maidul IslamMd Omar FaruqueJoshua ButterfieldGaurav SinghThomas A. CookePublished in: CoRR (2023)
Keyphrases
- power system
- unsupervised clustering
- deep belief networks
- unsupervised learning
- supervised classification
- deep learning
- restricted boltzmann machine
- probabilistic model
- clustering method
- k means
- image segmentation
- clustering algorithm
- distribution systems
- machine learning
- supervised learning
- computational intelligence
- electric power systems
- smart grid
- spectral clustering
- data clustering
- fuzzy c means
- power grid
- artificial intelligence
- learning algorithm
- power generation
- semi supervised
- pairwise
- expert systems
- knowledge discovery
- pairwise constraints
- decision making
- genetic algorithm
- data mining
- power quality