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Listar por palabra clave "Outlier detection"

Mostrando ítems 1-5 de 5

A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles

Serrano-Guerrero, Xavier; Escrivá-Escrivá, Guillermo; Luna-Romero, Santiago; Clairand, Jean-Michel (MDPI AG, 2020-03)

[EN] Electricity consumption patterns reveal energy demand behaviors and enable strategY implementation to increase efficiency using monitoring systems. However, incorrect patterns can be obtained when the time-series ...
Diagnosis of abnormal patterns in multivariate microclimate monitoring: a case study of an open-air archaeological site in Pompeii (Italy)

Merello Giménez, Paloma; García Diego, Fernando Juan; Zarzo Castelló, Manuel (Elsevier, 2014-08-01)

Chemometrics has been applied successfully since the 1990s for the multivariate statistical control of industrial processes. A new area of interest for these tools is the microclimatic monitoring of cultural heritage. ...
Enabling network inference methods to handle missing data and outliers

Folch-Fortuny, Abel; Fernández Villaverde, Alejandro; Ferrer Riquelme, Alberto José; Rodríguez Banga, Julio (BioMed Central, 2015-09-03)

[EN] Background: The inference of complex networks from data is a challenging problem in biological sciences, as well as in a wide range of disciplines such as chemistry, technology, economics, or sociology. The quantity ...
Innovative Methodology to Identify Errors in Electric Energy Measurement Systems in Power Utilities

Toledo-Orozco, Marco; Arias-Marin, Carlos; Álvarez, Carlos; Morales-Jadan, Diego; Rodríguez-García, Javier; Bravo-Padilla, Eddy (MDPI AG, 2021-02)

[EN] Many electric utilities currently have a low level of smart meter implementation on traditional distribution grids. These utilities commonly have a problem associated with non-technical energy losses (NTLs) to ...
Performance comparison of least squares, iterative and global L1 Norm minimization and exhaustive search methods for outlier detection in leveling networks

Baselga Moreno, Sergio; Klein, Ivandro; Suraci, Stefano Sampaio; Castro de Oliveira, Leonardo; Matsuoka, Marcelo Tomio; Rofatto, Vinicius Francisco (Institute of Rock Structure and Mechanics, AS CR, 2020)

[EN] Different approaches have been proposed to determine the possible outliers existing in a dataset. The most widely used consists in the application of the data snooping test over the least squares adjustment results. ...