Non-intrusive appliance load monitoring with bagging classifiers.
Oliver KramerThole KlingenbergMichael SonnenscheinOlaf WilkenPublished in: Log. J. IGPL (2015)
Keyphrases
- ensemble learning
- decision trees
- majority voting
- randomized trees
- ensemble classifier
- voting methods
- meta learning
- individual classifiers
- imbalanced data
- training set
- classifier ensemble
- ensemble methods
- decision tree classifiers
- class label noise
- monitoring system
- ensemble classification
- training data
- random forests
- weighted voting
- load balancing
- naive bayes
- machine learning algorithms
- support vector
- weak classifiers
- machine learning
- real time
- base learners
- decision stumps
- ensemble members
- class labels
- svm classifier
- learning machines
- feature selection
- random forest
- machine learning methods
- supervised classification
- accurate classifiers
- knn
- bootstrap sampling
- benchmark datasets
- feature set
- classifier fusion
- linear classifiers
- classification algorithm
- generalization error
- classification models