Frequency Invariant Transformation of Periodic Signals (FIT-PS) for Classification in NILM.
Pirmin HeldSteffen MauchAlaa SalehDjaffar Ould AbdeslamDirk BenyoucefPublished in: IEEE Trans. Smart Grid (2019)
Keyphrases
- pattern recognition
- classification algorithm
- eeg signals
- image classification
- classification systems
- classification accuracy
- feature extraction
- decision trees
- machine learning
- classification scheme
- classification models
- support vector
- signal processing
- automatic classification
- frequency spectrum
- periodic patterns
- text classification
- decision rules
- training samples
- model selection
- supervised learning
- support vector machine
- training data
- learning algorithm