2017
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
ICML 2017poster
Motivated by electricity consumption reconstitution, we propose a new matrix recovery method using nonnegative matrix factorization (NMF). The task tackled here is to reconstitute electricity consumption time series at a fine temporal scale from measures that are temporal aggregates of individual co…