Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids.
Maryam Farajzadeh-ZanjaniEhsan HallajiRoozbeh Razavi-FarMehrdad SaifMasood ParvaniaPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- semi supervised learning
- power grids
- semi supervised
- power grid
- unlabeled data
- labeled data
- supervised learning
- fault diagnosis
- machine learning
- telecommunication systems
- semi supervised classification
- training data
- wind power
- unsupervised learning
- co training
- smart grid
- label propagation
- active learning
- semi supervised learning algorithms
- critical infrastructure
- cyber security
- labeled and unlabeled data
- short term
- neural network
- power system
- intrusion detection
- graph based semi supervised learning
- training set
- pairwise