Sep 13, 2013 · This paper advocates statistical inference methods to robustify power monitoring tasks against the outlier effects owing to faulty readings and ...

Jan 31, 2013 · A novel robust load curve cleansing and imputation method is developed in this paper, rooted at the crossroads of sparsity- cognizant ...

This paper advocates statistical inference methods to robustify power monitoring tasks against the outlier effects owing to faulty readings and malicious ...

Dec 5, 2024 · When the low-rank, sparse, and compression matrices are drawn from certain random ensembles, it is established that exact recovery is possible ...

In this context, a novel load cleansing and imputation scheme is developed in this paper, building on recent advances in sparsity-cognizant signal processing, ...

This paper advocates statistical inference methods to robustify power monitoring tasks against the outlier effects owing to faulty readings and malicious ...

, Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank ;; Mateos, Gonzalo; Giannakis, Georgios B ;, ISSN: 1949-3053 , 1949-3061; DOI: 10.1109/TSG.

TL;DR: In this paper, a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix is decomposed into its sparse and low rank ...

Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank. Go to the source at https://doi.org/10.1109/tsg.2013.2259853. #Pa[34904711]. Abstract+.

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