A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks.
Hamidreza JahangirHanif TayaraniSina BaghaliAli AhmadianAli ElkamelMasoud Aliakbar GolkarMiguel CastillaPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- dimension reduction
- artificial neural networks
- electricity markets
- principal component analysis
- high dimensional
- feature extraction
- singular value decomposition
- high dimensional data
- feature selection
- high dimensional problems
- linear discriminant analysis
- data mining and machine learning
- low dimensional
- variable selection
- feature space
- partial least squares
- market clearing
- short term
- high dimensional data analysis
- neural network
- random projections
- high dimensionality
- manifold learning
- back propagation
- dimensionality reduction
- discriminative information
- discriminant analysis
- data points
- pattern recognition
- face recognition
- qr decomposition
- database
- sparse metric learning