Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank

@article{Mateos2013LoadCD,
  title={Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank},
  author={Gonzalo Mateos and Georgios B. Giannakis},
  journal={IEEE Transactions on Smart Grid},
  year={2013},
  volume={4},
  pages={2347-2355}
}
The smart grid vision is to build an intelligent power network with an unprecedented level of situational awareness and controllability over its services and infrastructure. This paper advocates statistical inference methods to robustify power monitoring tasks against the outlier effects owing to faulty readings and malicious attacks, as well as against missing data due to privacy concerns and communication errors. In this context, a novel load cleansing and imputation scheme is developed… CONTINUE READING
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