Load forecasting via low rank plus sparse matrix factorization.
Seung-Jun KimGeorgios B. GiannakisPublished in: ACSSC (2013)
Keyphrases
- matrix factorization
- low rank
- load forecasting
- low rank matrix
- low rank matrices
- sparsity constraints
- collaborative filtering
- tensor factorization
- missing data
- support vector regression
- latent factors
- negative matrix factorization
- matrix completion
- rbf neural network
- bp neural network
- recommender systems
- data matrix
- nonnegative matrix factorization
- factor analysis
- stochastic gradient descent
- factorization methods
- binary matrix
- singular value decomposition
- high dimensional
- data analysis
- machine learning
- data mining
- sparse coding
- higher order
- pattern recognition