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 ...

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 ...

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

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

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

, 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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