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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-09-01
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Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/9/9/752 |