Optimal Energy-Hub Planning Based on Dimension Reduction and Variable-Sized Unimodal Searching.
Nan ZhaoBeibei WangFangxing LiQingxin ShiPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- dimension reduction
- variable sized
- principal component analysis
- high dimensional
- feature extraction
- low dimensional
- high dimensional problems
- data mining and machine learning
- manifold learning
- variable selection
- high dimensional data
- linear discriminant analysis
- discriminative information
- partial least squares
- random projections
- singular value decomposition
- feature selection
- manifold embedding
- high dimensional data analysis
- high dimensionality
- feature space
- preprocessing
- cluster analysis
- least squares
- dimension reduction methods
- machine learning