A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

Nowadays, data collection is a key process in the study of electrical power networks when searching for harmonics and a lack of balance among phases. In this context, the lack of data of any of the main electrical variables (phase-to-neutral voltage, phase-to-phase voltage, and current in each phase...

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Bibliographic Details
Main Authors: Concepción Crespo Turrado, Fernando Sánchez Lasheras, José Luis Calvo-Rollé, Andrés José Piñón-Pazos, Francisco Javier de Cos Juez
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Sensors
Subjects:
missing data imputation
multivariate imputation by chained equations (MICE)
Multivariate adaptive regression splines (MARS)
quality of electric supply
voltage
current
power factor
Online Access:http://www.mdpi.com/1424-8220/15/12/29842

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http://www.mdpi.com/1424-8220/15/12/29842

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