Semi-Automatic Generation and Labeling of Training Data for Non-intrusive Load Monitoring.
Benjamin VölkerPhilipp M. SchollBernd BeckerPublished in: e-Energy (2019)
Keyphrases
- training data
- monitoring system
- load balancing
- real time
- automatically generate
- learning algorithm
- labeled data for training
- data sets
- labeling process
- decision trees
- supervised learning
- training set
- active learning
- sample selection
- training process
- test data
- domain knowledge
- labeling effort
- classification models
- prior knowledge
- neural network
- test set
- training samples
- labeled data
- classification accuracy
- decision support
- image segmentation
- early warning
- positive examples
- labelled data
- response time
- distributed systems
- condition monitoring
- training instances
- classification trees
- class labels
- cloud computing
- noisy data
- cross validation