A New Methodology Based on Imbalanced Classification for Predicting Outliers in Electricity Demand Time Series

The occurrence of outliers in real-world phenomena is quite usual. If these anomalous data are not properly treated, unreliable models can be generated. Many approaches in the literature are focused on a posteriori detection of outliers. However, a new methodology to a priori predict the occurrence...

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Bibliographic Details
Main Authors: Francisco Javier Duque-Pintor, Manuel Jesús Fernández-Gómez, Alicia Troncoso, Francisco Martínez-Álvarez
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/9/9/752