The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series
Author:
Affiliation:
1. University of the Basque Country (UPV/EHU),Intelligent Systems Group,San Sebastian,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10375374/10375393/10375473.pdf?arnumber=10375473
Reference43 articles.
1. A novel short-term load forecasting framework based on time-series clustering and early classification algorithm
2. Signal features for classification of power system disturbances using PMU data
3. Fault classification based on wavelet transforms
4. An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers
5. Multiple Imputation Ensembles for Time Series (MIE-TS)
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