Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers.
Ayumu MiyasawaMasako MatsumotoYu FujimotoYasuhiro HayashiPublished in: ISGT Europe (2017)
Keyphrases
- matrix factorization
- feedback information
- semi supervised
- energy saving
- low rank
- relevance feedback
- collaborative filtering
- recommender systems
- energy consumption
- missing data
- semi supervised learning
- nonnegative matrix factorization
- user feedback
- factor analysis
- factorization methods
- labeled data
- negative matrix factorization
- active learning
- unsupervised learning
- supervised learning
- pairwise
- item recommendation
- stochastic gradient descent
- manifold regularization
- tensor factorization
- binary matrix
- training set
- probabilistic matrix factorization
- document retrieval
- user interaction
- principal component analysis