Data-Driven Low-Rank Tensor Approximation for Fast Grid Integration of Commercial EV Charging Stations Considering Demand Uncertainties.
Yazhou JiangThomas H. OrtmeyerMiao FanXiaomeng AiPublished in: IEEE Trans. Smart Grid (2023)
Keyphrases
- low rank
- data driven
- frobenius norm
- trace norm
- high order
- electric vehicles
- tensor decomposition
- convex optimization
- matrix decomposition
- missing data
- linear combination
- matrix factorization
- low rank matrix
- matrix completion
- singular value decomposition
- low rank approximation
- rank minimization
- semi supervised
- high dimensional data
- kernel matrix
- higher order
- low rank matrices
- robust principal component analysis
- dimensionality reduction
- kullback leibler divergence
- approximation methods
- singular values
- minimization problems
- tensor factorization
- negative matrix factorization
- reconstruction error
- multi task
- data representation
- least squares
- active learning